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Dissertations / Theses on the topic 'Dynamic systems approach'

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Published: 4 June 2021
Last updated: 20 February 2023

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1

Kogan, Aleksandr Borisovich. "Towards a dynamic systems approach to love." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2011. http://hub.hku.hk/bib/B46541822.

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2

Larsson, Tobias. "Effective development of dynamic systems - a structured approach." Licentiate thesis, Luleå University of Technology, 1999. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-11316.

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This licentiate thesis deals with effective simulation of multibody dynamic systems in the product development process. Previous work to make simulation more effective has concentrated on developing faster calculation methods. Instead, this approach is to make the process of multibody dynamics simulation more effective by structuring of products, simulation models and their usage. Efforts have been made to clarify how computer tools are used in product development in industry today. Insight into the two domains of product development and multibody dynamics is given. These domains have traditionally been separated but the introduction of concurrent engineering and faster computers puts new demands on the integration of computer support and analysis in the development process. A proposal for performing the multibody dynamics methodology in a modular way in the product development process is given based on the performed work.
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3

Zammit, Mangion A. "Modelling from spatiotemporal data : a dynamic systems approach." Thesis, University of Sheffield, 2011. http://etheses.whiterose.ac.uk/2069/.

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Several natural phenomena manifest themselves as spatiotemporal evolution processes. The study of these processes, which aims to increase our understanding of the spatiotemporal phenomena for their prediction and control, requires analysis tools to infer models and their parameters from collected data. Whilst several studies exist on how to model from highly complex patterns characteristic of spatiotemporal processes, an approach which may be readily employed in a wide range of scenarios, such as with systems with different forms of observation processes or time-varying systems, is lacking. This work fills this void by providing a systems approach to spatiotemporal modelling which can be used with continuous observations, point process observations, systems exhibiting spatially varying dynamics and time-varying systems. The developed methodology builds on the stochastic partial differential equation as a suitable class of models for dynamic spatiotemporal modelling which can easily cater for spatially varying dynamics. A dimensionality reduction mechanism employing frequency methods is proposed; this is used to bring the spatiotemporal system, coupled with the observation process, into conventional state-space form. The work also provides a series of joint field-parameter inference methods which can cater for the vast range of problems under study. Variational techniques are found to be particularly amenable to these kinds of problem and hence a novel dual variational filter is developed to cater for time-varying spatiotemporal systems. The filter is seen to compare favourably with other conventional approaches and to work well on real temporal data sets. The potential of adopting a systems approach to spatiotemporal modelling is shown on the large-scale Wikileaks data set, the Afghan War Diary, where it is found that reliable predictions are possible even in complex scenarios. The encouraging results are a strong indication that the adopted approach may be used for large-scale spatiotemporal systems across several disciplines and thus provide a mechanism by which stochastic models are made available for spatiotemporal control purposes.
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4

Rahmati, Vahid, Knut Kirmse, Knut Holthoff, Lars Schwabe, and Stefan Kiebel. "Developmental Emergence of Sparse Coding: A Dynamic Systems Approach." Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2018. http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-231777.

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During neocortical development, network activity undergoes a dramatic transition from largely synchronized, so-called cluster activity, to a relatively sparse pattern around the time of eye-opening in rodents. Biophysical mechanisms underlying this sparsification phenomenon remain poorly understood. Here, we present a dynamic systems modeling study of a developing neural network that provides the first mechanistic insights into sparsification. We find that the rest state of immature networks is strongly affected by the dynamics of a transient, unstable state hidden in their firing activities, allowing these networks to either be silent or generate large cluster activity. We address how, and which, specific developmental changes in neuronal and synaptic parameters drive sparsification. We also reveal how these changes refine the information processing capabilities of an in vivo developing network, mainly by showing a developmental reduction in the instability of network’s firing activity, an effective availability of inhibition-stabilized states, and an emergence of spontaneous attractors and state transition mechanisms. Furthermore, we demonstrate the key role of GABAergic transmission and depressing glutamatergic synapses in governing the spatiotemporal evolution of cluster activity. These results, by providing a strong link between experimental observations and model behavior, suggest how adult sparse coding networks may emerge developmentally.
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5

Rahmati, Vahid, Knut Kirmse, Knut Holthoff, Lars Schwabe, and Stefan Kiebel. "Developmental Emergence of Sparse Coding: A Dynamic Systems Approach." Nature Publishing Group, 2017. https://tud.qucosa.de/id/qucosa%3A30702.

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During neocortical development, network activity undergoes a dramatic transition from largely synchronized, so-called cluster activity, to a relatively sparse pattern around the time of eye-opening in rodents. Biophysical mechanisms underlying this sparsification phenomenon remain poorly understood. Here, we present a dynamic systems modeling study of a developing neural network that provides the first mechanistic insights into sparsification. We find that the rest state of immature networks is strongly affected by the dynamics of a transient, unstable state hidden in their firing activities, allowing these networks to either be silent or generate large cluster activity. We address how, and which, specific developmental changes in neuronal and synaptic parameters drive sparsification. We also reveal how these changes refine the information processing capabilities of an in vivo developing network, mainly by showing a developmental reduction in the instability of network’s firing activity, an effective availability of inhibition-stabilized states, and an emergence of spontaneous attractors and state transition mechanisms. Furthermore, we demonstrate the key role of GABAergic transmission and depressing glutamatergic synapses in governing the spatiotemporal evolution of cluster activity. These results, by providing a strong link between experimental observations and model behavior, suggest how adult sparse coding networks may emerge developmentally.
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6

Boateng, Prince. "A dynamic systems approach to risk assessment in megaprojects." Thesis, Heriot-Watt University, 2014. http://hdl.handle.net/10399/2784.

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Purpose- Megaprojects are large, complex, and expensive projects that often involve social, technical, economic, environmental and political (STEEP) challenges. Despite these challenges, project owners and financiers continue to invest large sums of money in megaprojects that run high risks of being over schedule and over budget. While some degree of cost, schedule and quality risks are considered during planning, the challenge of understanding how risk interactions and impacts on project performance can be modelled dynamically still remains. The consequences learnt from past experiences indicate that there was a lack of dynamic tools to manage such risks effectively in megaproject construction. In seeking to help address these problems, this research put forward an innovative dynamic systems approach called SDANP to risk assessment in megaprojects construction. Design/methodology/approach – The research has developed an innovative SDANP method which involves an integrative use of system dynamics (SD) and analytic network process (ANP) for risk assessment. The SDANP model presented in the thesis has been testified by using data and information collected through a questionnaire survey and interviews from supply-side stakeholders involved in the Edinburgh Tram Network (ETN) project at the Phase One of its construction stage. The SDANP method is a case study risk assessment driven process and can be used against STEEP challenges in megaprojects. Findings – The result of the case study project revealed that the SDANP method is an effective tool for risk assessment to support supply-side stakeholders in decision making in construction planning. The SDANP model has demonstrated its efficiency through case study, and has convinced construction practitioners in terms of its innovation and usefulness. Research limitations/implications – Although the SDANP model has been developed for generic use in risk assessment, data and information used to run the simulation were based on the ETN project, which is in Edinburgh, Scotland. The use of the SDANP model in other megaprojects requires further data and information from local areas. Practical implications – The SDANP method provides an innovative approach to a comprehensive dynamic risk assessment of STEEP issues at the construction planning stage of megaprojects for the first time. It provides an interactive quantitative way for developers to prioritise and simulate potential risks across the project supply network, to understand and predict in advance the consequences of STEEP risks on project performance at the construction stage. Originality/value - The research made an original contribution in quantitative risk assessment with regard to the need for a methodological innovation in research and for a powerful sophisticated tool in practice. The SDANP has shown its advantages over existing tools such as the program evaluation and review technique (PERT) and the risk assessment matrix (RAM).
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7

Wang, Qing. "Model reduction for dynamic systems with time delays a linear matrix inequality approach /." Click to view the E-thesis via HKUTO, 2007. http://sunzi.lib.hku.hk/hkuto/record/B38645439.

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8

Oh, Ki-Tae. "An information based approach to anomaly detection in dynamic systems." Case Western Reserve University School of Graduate Studies / OhioLINK, 1995. http://rave.ohiolink.edu/etdc/view?acc_num=case1058208324.

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9

Wang, Qing, and 王卿. "Model reduction for dynamic systems with time delays: a linear matrix inequality approach." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2007. http://hub.hku.hk/bib/B38645439.

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10

Niebuhr, Dirk [Verfasser]. "Dependable Dynamic Adaptive Systems - Approach, Model, and Infrastructure / Dirk Niebuhr." München : Verlag Dr. Hut, 2010. http://d-nb.info/1009095595/34.

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11

Velden, Hendrik van de. "An experimental approach to expectation formation in dynamic economic systems." [Amsterdam] : Amsterdam : Thela Thesis ; Universiteit van Amsterdam [Host], 2001. http://dare.uva.nl/document/57768.

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12

McCarragher, Brenan Joseph. "A discrete event dynamic systems approach to robotic assembly tasks." Thesis, Massachusetts Institute of Technology, 1992. http://hdl.handle.net/1721.1/12887.

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13

Torre, Enrico. "The emergent patterns of Italian idioms : a dynamic-systems approach." Thesis, Lancaster University, 2014. http://eprints.lancs.ac.uk/76564/.

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In traditional generative linguistic theories, idiomatic constructions are seen as a sort of “anomaly”, and dismissed as non-decomposable items of non-literal language, uninteresting and “peripheral”. Contrary to this view, in the last decades psycholinguistic and corpus-linguistic studies have shown that idioms can often undergo structural modification and display different variation patterns, according to their specific formal and semantic properties. In virtue of these findings, the present study aims to investigate the levels of stability and variation in Italian idioms from a socio-cognitive point of view, in a two-step fashion. In the first stage, a set of 150 idiomatic constructions will be selected from a dictionary (Sorge 2010) and, taking the categorization proposed by Langlotz (2006a) as a starting point, a cognitively motivated typology of Italian idiomatic constructions will be drawn. Langlotz's parameters and categories will be used to classify Italian idioms into a structured taxonomy based on a set of notions which are generally accepted and employed by proponents of functionally-oriented approaches to language; these notions will be applied taking the Italian cultural context into consideration, in order to avoid (potentially hasty) claims about their supposed universality. Then, the mutual relationship between different idioms on the one hand and between idiomatic and non-idiomatic constructions on the other hand will be addressed and accounted for in the light of a constructionist perspective on language. In the second part of my study, a sample of occurrences of a subset of 50 idiomatic constructions will be downloaded from a large Italian corpus, in order to observe their variational behavior in the context of actual interactions in a contemporary setting. Particular attention will be paid to the potential correlation between the category an idiom was allocated to in the previous stage and the variation patterns observed in its occurrences, with the specific aim to understand if a causal connection can be established between the idiom category and the (quantitative and qualitative) level of variation observed in real language data. The two phases of the study will be treated as deeply interconnected, and a dynamic-systems approach will be adopted to highlight the several links between the two stages. An integrated model of the mechanisms which regulate the “life-dynamics” of idiomatic constructions will be provided, taking distinct dimensions, time-scales, and levels of granularity into account. Finally, the results of the study will be scrutinized in order to assess the adequacy of a dynamic-systems perspective to accurately explore and describe the self-organizing nature of linguistic constructions and their relationship with other aspects of human cognition and interactivity.
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14

Agharazi, Hanieh. "A Swarm Intelligent Approach To Condition Monitoring of Dynamic Systems." Case Western Reserve University School of Graduate Studies / OhioLINK, 2016. http://rave.ohiolink.edu/etdc/view?acc_num=case1457024014.

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15

Salgame, Rangnath R. "A knowlege-based system approach for dynamic scheduling." Thesis, Virginia Tech, 1987. http://hdl.handle.net/10919/45907.

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Scheduling is one of the most important functions in a factory and it is determining when and with what resources jobs should be accomplished. An important factor that affects the scheduling of jobs is the dynamic variation of factory status. Existing computer based scheduling systems do not address the need of making effective decisions dynamically with the variations in factory status. Traditionally, Operations Research techniques have provided an effective tool in solving manufacturing planning problems. But these methods have not been able to effectively address real time control problems in the manufacturing environment.

To address some of these problems, this research investigates applying an expert system approach to develop an interactive real time dynamic scheduling system. Specifically, a knowledge base structure is developed and applied to a case study representing a two stage production system.

A Blackboard concept has been utilized to organize and maintain the dynamic data base. The major knowledge representation schemes used in the system include, frame structures, relational tables, and production rules. The system was tested on a case study, by conducting a sample interactive session on a set of simulated dynamic situations. The test demonstrated the viability of implementing knowledge based systems for dynamic scheduling at the operational level of a plant.


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16

Beig, Mirza Tanweer Ahmad. "Fractional Calculus and Dynamic Approach to Complexity." Thesis, University of North Texas, 2015. https://digital.library.unt.edu/ark:/67531/metadc822832/.

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Fractional calculus enables the possibility of using real number powers or complex number powers of the differentiation operator. The fundamental connection between fractional calculus and subordination processes is explored and affords a physical interpretation for a fractional trajectory, that being an average over an ensemble of stochastic trajectories. With an ensemble average perspective, the explanation of the behavior of fractional chaotic systems changes dramatically. Before now what has been interpreted as intrinsic friction is actually a form of non-Markovian dissipation that automatically arises from adopting the fractional calculus, is shown to be a manifestation of decorrelations between trajectories. Nonlinear Langevin equation describes the mean field of a finite size complex network at criticality. Critical phenomena and temporal complexity are two very important issues of modern nonlinear dynamics and the link between them found by the author can significantly improve the understanding behavior of dynamical systems at criticality. The subject of temporal complexity addresses the challenging and especially helpful in addressing fundamental physical science issues beyond the limits of reductionism.
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17

Udono, Ken, and n/a. "Modelling Seawater Desalination With Waste Incineration Energy Using Dynamic Systems Approach." Griffith University. School of Information and Communication Technology, 2006. http://www4.gu.edu.au:8080/adt-root/public/adt-QGU20070110.164750.

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Water shortage issues have been growing concerns in many cities around the world in recent years, especially in Eastern cities of Australia, which is the driest continent on the earth. The aim of this PhD thesis is a development of a model to study the use of waste incineration energy supplemented by alternative energy to power seawater desalination. It is to aid the freshwater supply of a drought stricken city in Eastern Australia. My work contributes to a development of efficient model in a simpler understandable way to reduce efforts required for modelling complex multi domain problems. This research is motivated by the successive severe drought conditions that affected many Australian cities in the past few years, compounded with an additional strain from a fast growing population. While we dump our waste into the Australian landscape, in more densely populated cities in Europe and Asia, the waste is incinerated to obtain thermal energy for various purposes. The waste is used as an energy source while at the same time reducing the amount of space needed for landfill. Seawater desalination has been uccessfully practiced for quite some time particularly in the Middle Eastern countries. To deal with increasing water shortage crisis, many cities around the world have opted or are considering seawater desalination to supplement their freshwater supply. The combination of both - waste incineration and seawater desalination - has rarely been studied. This is a twofold problem that requires modelling the problem of water demand and supply together with waste incineration to find a sustainable solution. This is a complex task. The effort needed for this can be reduced by using a modelling approach that is more efficient than the traditionally used statistical approaches. In this thesis, I present a comprehensive model developed using a dynamic system approach combined with artificial neural networks. It simulates water demand and supply as well as the possible amount of the desalinated water that can be produced using the energy from clean city waste incineration. This is done while taking in various influential factors including population growth and irregular weather patterns. This research comprises a literature review on seawater desalination and waste incineration, the establishment of water demand and supply dynamics of Gold Coast City as my case study and identifying any modelling difficulties that need to be overcome. This is followed by the development of a comprehensive model and its components, model calibration and simulation experiments. It was found that with the energy of waste incineration, up to 60% of the freshwater demand could be fulfilled by seawater desalination in a sustainable way.
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18

Fuss, Hendrik. "An integrative dynamic systems approach to understanding Src family kinase signalling." Thesis, University of Ulster, 2007. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.529564.

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19

Udono, Ken. "Modelling Seawater Desalination With Waste Incineration Energy Using Dynamic Systems Approach." Thesis, Griffith University, 2006. http://hdl.handle.net/10072/365604.

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Water shortage issues have been growing concerns in many cities around the world in recent years, especially in Eastern cities of Australia, which is the driest continent on the earth. The aim of this PhD thesis is a development of a model to study the use of waste incineration energy supplemented by alternative energy to power seawater desalination. It is to aid the freshwater supply of a drought stricken city in Eastern Australia. My work contributes to a development of efficient model in a simpler understandable way to reduce efforts required for modelling complex multi domain problems. This research is motivated by the successive severe drought conditions that affected many Australian cities in the past few years, compounded with an additional strain from a fast growing population. While we dump our waste into the Australian landscape, in more densely populated cities in Europe and Asia, the waste is incinerated to obtain thermal energy for various purposes. The waste is used as an energy source while at the same time reducing the amount of space needed for landfill. Seawater desalination has been uccessfully practiced for quite some time particularly in the Middle Eastern countries. To deal with increasing water shortage crisis, many cities around the world have opted or are considering seawater desalination to supplement their freshwater supply. The combination of both - waste incineration and seawater desalination - has rarely been studied. This is a twofold problem that requires modelling the problem of water demand and supply together with waste incineration to find a sustainable solution. This is a complex task. The effort needed for this can be reduced by using a modelling approach that is more efficient than the traditionally used statistical approaches. In this thesis, I present a comprehensive model developed using a dynamic system approach combined with artificial neural networks. It simulates water demand and supply as well as the possible amount of the desalinated water that can be produced using the energy from clean city waste incineration. This is done while taking in various influential factors including population growth and irregular weather patterns. This research comprises a literature review on seawater desalination and waste incineration, the establishment of water demand and supply dynamics of Gold Coast City as my case study and identifying any modelling difficulties that need to be overcome. This is followed by the development of a comprehensive model and its components, model calibration and simulation experiments. It was found that with the energy of waste incineration, up to 60% of the freshwater demand could be fulfilled by seawater desalination in a sustainable way.
Thesis (PhD Doctorate)
Doctor of Philosophy (PhD)
School of Information and Communication Technology
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20

Pourasghar-Lafmejani, Masoud. "On the fault diagnosis of dynamic systems using set-based approaches." Doctoral thesis, Universitat Politècnica de Catalunya, 2019. http://hdl.handle.net/10803/670997.

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Model-based Fault Detection and Isolation (FDI) is a major theoretical topic that is becoming increasingly to one of the most significant key features to increase safety and reliability of complex automatic control systems. Basically, model-based FDI relies on the use of a mathematical model to describe the system behavior. However, uncertainty remains always present when modelling a system since its effect is non-negligible even if there are no process faults. One way to deal with uncertainty is to assume its unknown-but-bounded description. Generally speaking, the uncertainty in so-called \emph{set-based approaches} is represented by a set that is unknown-but-bounded at each time instant. Set-based approaches can be classified into three main paradigms: interval observer approach, set-membership approach and set-invariance approach. In this thesis, the influence of the uncertainty is addressed using the set-based approaches considering a zonotopic representation. Moreover, this thesis presents both analysis and comparison of the set-based approaches for the state estimation and FDI frameworks with the goal of establishing the advantages and disadvantages of each approach, and also, to find out their relationship in a formal mathematical framework. However, the mentioned set-based approaches implicitly assume time-varying uncertainty. In the set-based approach, the propagation of the state set is affected by several problems such as the wrapping effect, temporal variance on uncertain parameters (or uncertain parameter time dependency) and range evaluation of an interval function, especially in the case of using the interval hull of the set at each iteration. Therefore, conservative and unstable results may be obtained (for even a stable system) when using the set-based approach in the simulation of the system with parametric time-invariant uncertainties. On the other hand, the approximated state set can be computed based on a set of point-wise trajectories. This type of approach is called \emph{trajectory-based approach}. Therefore, the uncertain parameter time dependency is preserved if the set of point-wise trajectories is generated using the mentioned trajectory-based approach.
La detección y el aislamiento de fallos (DAF) basado en modelos es un problema teórico importante que se está convirtiendo cada vez m ás en una de las características clave para aumentar la seguridad y abilidad de los sistemas de control autom ático complejos. Básicamente, la DAF basada en modelos utiliza un modelo m atem ático para describir el comportamiento del sistem a. Sin embargo, la incertidumbre permanece siempre presente cuando se modela un sistema, ya que su efecto no es despreciable, incluso si no hay fallos que afecten al sistema. Una form a de tener en cuenta la incertidumbre es asumir una descripción desconocida pero acotada. En términos generales, la incertidumbre en los llamados enfoques basados en conjuntos se representa mediante un conjunto que es desconocido pero acotado en cada instante de tiempo. Los enfoques basados en conjuntos se pueden clasicar en tres paradigmas principales: enfoque basado en observadores intervalares, enfoque de pertenencia al conjunto y enfoque basados en conjuntos invariante. En esta tesis, la inuencia de la incertidumbre se aborda utilizando los enfoques basados en conjuntos y representaciones zonotópicas de los mismos. Adem ás, esta tesis presenta tanto el análisis como la comparación de los enfoques basados en conjuntos para la estimación de estado con el objetivo de establecer las ventajas y desventajas de cada enfoque, y también, para descubrir su relación en un m arco matemático formal. Sin embargo, los mencionados enfoques basados en conjuntos suponen implícitamente una incertidumbre variante en el tiempo. En el enfoque basado en pertenencia a conjuntos, la propagación del conjunto de estados se ve afectada por varios problemas, como el efecto de del aum ento de incertidumbre, la varianza temporal de los parámetros inciertos (o la dependencia temporal de los parámetros inciertos) y la evaluación de rango de una función de intervalo, especialm ente cundo se usa el "lnterval Hull" en cada iteración. Por lo tanto, se pueden obtener resultados conservadores (incluso para un sistema estable) en la simulación del sistema con incertidumbres param étricas invariantes en el tiempo con el uso del enfoque basado en pertenencia a conjuntos. Por otro lado, el conjunto de estados aproximados se puede calcular con base en un conjunto de trayectorias puntuales. Este tipo de enfoque se denomina enfoque basado en trayectorias. Por lo tanto, la dependencia temporal del parámetro incierto se conserva si el conjunto de trayectorias puntuales se genera utilizando el mencionado enfoque basado en trayectorias
La detecció i aïllament de fallades basada en models (DAF) és un problema teòric important que està esdevenint cada cop més una de les característiques clau per augmentar la seguretat i la fiabilitat dels sistemes de control automàtic complexos. Bàsicament, la DAF basada en models es basa en l’ús d'un model matemàtic per descriure el comportament del sistema. Tanmateix, la incertesa roman sempre present quan es modelitza un sistema ja que el seu efecte no és insignificant, fins i tot si no hi ha fallades en el procés. Una forma de fer front a la incertesa és assumir una descripció desconeguda però acotada. En termes generals, la incertesa en els anomenats enfocaments basats en conjunts està representada per un conjunt desconegut però acotat en cada instant. Els enfocaments basats en conjunts es poden classificar en tres paradigmes principals: l'enfocament d'observadors d'intervals, l'enfocament de pertinença a conjunts i l'enfocament d’invariància. En aquesta tesi, s'aborda la influència de la incertesa mitjançant els enfocaments basats en conjunts fent servir una representació zonotòpica. A més, aquesta tesi presenta tant l’anàlisi com la comparació dels enfocaments basats en conjunts per a l’estimació de l'estat i la seva aplicació a DAF amb l'objectiu d'establir els avantatges i desavantatges de cada enfocament i, a més, conèixer la seva relació en un marc matemàtic formal. Tanmateix, els esmentats enfocaments basats en conjunts assumeixen implícitament una incertesa variable en el temps. En l'enfocament basat en conjunts, la propagació del conjunt d'estats es veu afectada per diversos problemes com l'efecte d'embolcall, la variació temporal dels paràmetres incerts (o la dependència en el temps dels paràmetres incerts) i l’avaluació del rang d'una funció intervalar, especialment en el cas d'utilitzar el "Interval Hull" del conjunt a cada iteració. Per tant, es poden obtenir resultats conservadors i inestables (fins i tot per a un sistema estable) en la simulació del sistema amb incerteses temporals invariants paramètriques amb l’ús del mètode basat en conjunts. D'altra banda, el conjunt d'estats aproximat es pot calcular a partir d'un conjunt de trajectòries puntuals. Aquest tipus d'enfocament s'anomena enfocament basat en trajectòries. Per tant, la dependència en el temps del paràmetres es conserva si el conjunt de trajectòries puntuals es generen utilitzant l'enfocament basat en trajectòries esmentat. Aquesta tesi inclou sis parts. La primera part, presenta l'estat de la tècnica i fa una introducció de les eines de recerca. La segona part proposa la relació matemàtica entre l'observador intervalar i els enfocaments de pertinença. La tercera part se centra en la integració dels enfocaments basats en observadors i d’invariància de conjunts en la seva aplicació a DAF caracteritzant la mínima fallada detectable i aïllable. La quarta part presenta el disseny d'un observador intervalar que millora la sensibilitat a les fallades respecte les pertorbacions. La cinquena part proposa el disseny robust d'observadors d'intervals per a sistemes incerts, subjectes a incerteses tant temporals com variables es el temps. L'última part presenta algunes conclusions, resumeix la investigació realitzada i estableix les bases per al treball futur
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21

Casmir, Respickius. "A Dynamic and Adaptive Information Security Awareness (DAISA) Approach." Doctoral thesis, Kista : Department of Computer & Systems Sciences, Stockholm University [Institutionen för data- och systemvetenskap, Stockholms universitet], 2005. http://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-743.

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22

Sweriduk, Gregory. "Robust control with fixed-order dynamic compensators : a differential game approach." Diss., Georgia Institute of Technology, 1994. http://hdl.handle.net/1853/16891.

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23

Kargbo, Abdulai Hassan. "An Approach to Dynamic Resource Allocation for Electric Power Disaster Response Management." Thesis, The George Washington University, 2018. http://pqdtopen.proquest.com/#viewpdf?dispub=10981665.

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Electricity has become an invaluable commodity for the rest of humanity such that nations irrespective of their classification in the world economy will find it difficult to function without it’s reliable supply. For nations such as the United States and the rest of the developed world, sustainable electricity supply is no longer optional. It has become a race for survival and maintenance of the very fabrics of those societies that made them who or what they are. So, whenever there is a disruption of electricity supply due to major natural disasters, the electric utility industry in the United States marshal thousands of first responders. These first responders always answer to the call of duty to face the challenge of restoring this valuable service to affected communities within the shortest possible time. In addition to the human element, electric grid restoration methods after disasters have depended mainly on the ability of intelligent electronic devices (IEDs) to communicate vital grid information with each other for system status. At one end are field devices and at the other end are human operators through outage management systems (OMS) with considerable command and control capabilities using Supervisory Control and Data Acquisition (SCADA) processes. Traditional use of centralized SCADA for system restoration during natural disasters takes too long and presents serious constrains on field workforce especially those on mutual assistance. In this study, we present a hybrid multi agent system (MAS) form of electric grid disaster response management that decentralizes the SCADA functions. The proposed system forms a Mobile Coordination and Restoration Center (MCRC) model that allows the different restoration agents the autonomy to execute restoration functions per outage demand after a disaster. The choice of agent location is modelled on the concept of Facility Location and Relocation Problem – under Uncertainty (FLRP-U) to identify optimum grid nodes that minimize distance travel and response time for field restoration crews. The model considers a dynamic approach that identifies agent locations based on outage demand changes and minimizes the total weighted distance for first responders. Using systems engineering (SE) concepts, an encompassing viewpoint is presented. The resulting architecture will examine the different agents and subsystems to help establish a technical framework that is logistical for future electric utility disaster response managers. This could be adopted by disaster managers in different settings to achieve improved restoration performance.

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Karl, Khongorzul. "A systems Approach for Characterizing Wastewater Reuse Alternatives for the City of Ulaanbaatar, Mongolia." Digital WPI, 2019. https://digitalcommons.wpi.edu/etd-theses/1299.

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Ulaanbaatar city is the capital city of Mongolia. Presently more than 50 percent of the Mongolian population lives in Ulaanbaatar city, which comprises of 3% of the country’s land area. Water supply for Ulaanbaatar City is supplied solely from groundwater, which is a limited resource that exhibits slow replenishment. It has been recognized that the increasing water demand will eventually exceed the capacity of the known groundwater resources. Therefore, discovering and developing additional water sources or developing creative alternatives is an important challenge for the city. This challenge is especially critical given the anticipated impacts of climate change. Reuse of wastewater has been proposed as an alternative to reduce the overall water supply demand for the city. The first water reuse regulations in Mongolia were passed in 2018, so the institutional setting on water reuse considered to be very open. The goal of this project was to develop a systems approach to characterize the wastewater reuse and provide a basis for evaluating design alternatives that will reduce the use of groundwater resources. A system dynamics model was developed based on the Vensim modeling software to characterize the water use and wastewater budget for the City of Ulaanbaatar. This approach considered the potential role of wastewater reuse as an approach for maintaining a sustainable water supply. Water supply and wastewater generation were estimated for domestic and industrial use. The focus was on industrial reuse with consideration to the current economic and institutional settings of Mongolia. The model took into account the water requirements for various industries (including tannery, wool, food and beverage, soft beverage and alcohol, paper production and car wash, and thermal power). Two different models were generated to compare the systematic change when reuse is incorporated into the system, and linear growth was considered to provide the most appropriate predictions for future changes in water demand. The analysis and model results showed reuse options were likely limited for domestic supplies, but industrial reuse could provide a 4% reduction in total water demand and significant reductions in water use by power generation facilities.
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Ardi, Shanai. "A Nonlinear Programming Approach for Dynamic Voltage Scaling." Thesis, Linköping University, Department of Computer and Information Science, 2005. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-2774.

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Embedded computing systems in portable devices need to be energy efficient, yet they have to deliver adequate performance to the often computationally expensive applications. Dynamic voltage scaling is a technique that offers a speed versus power trade-off, allowing the application to achieve considerable energy savings and, at the same time, to meet the imposed time constraints.

In this thesis, we explore the possibility of using optimal voltage scaling algorithms based on nonlinear programming at the system level, for a complex multiprocessor scheduling problem. We present an optimization approach to the modeled nonlinear programming formulation of the continuous voltage selection problem excluding the consideration of transition overheads. Our approach achieves the same optimal results as the previous work using the same model, but due to its speed, can be efficiently used for design space exploration. We validate our results using numerous automatically generated benchmarks.

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Aguiar, Izabel Pirimai. "Dynamic Active Subspaces| A Data-driven Approach to Computing Time-dependent Active Subspaces in Dynamical Systems." Thesis, University of Colorado at Boulder, 2018. http://pqdtopen.proquest.com/#viewpdf?dispub=10826096.

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Computational models are aiding in the advancement of science – from biological, to engineering, to social systems. To trust the predictions of computational models, however, we must understand how the errors in the models’ inputs (i.e., through measurement error) affect the output of the systems: we must quantify the uncertainty that results from these input errors. Uncertainty quantification (UQ) becomes computationally complex when there are many parameters in the model. In such cases it is useful to reduce the dimension of the problem by identifying unimportant parameters and disregarding them for UQ studies. This makes an otherwise intractable UQ problem tractable. Active subspaces extend this idea by identifying important linear combinations of parameters, enabling more powerful and effective dimension reduction. Although active subspaces give model insight and computational tractability for scalar-valued functions, it is not enough. This analysis does not extend to time-dependent systems. In this thesis we discuss time-dependent, dynamic active subspaces. We develop a methodology by which to compute and approximate dynamic active subspaces, and introduce the analytical form of dynamic active subspaces for two cases. To highlight these methods we find dynamic active subspaces for a linear harmonic oscillator and a nonlinear enzyme kinetics system.

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Junyk, Sharman Natalka. "Cognitive and emotional aspects of maladaptive interpersonal patterns, a dynamic systems approach." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1997. http://www.collectionscanada.ca/obj/s4/f2/dsk2/ftp02/NQ27969.pdf.

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Tzellos, Konstantinos. "Filter bank approach to the estimation of flexible modes in dynamic systems." Thesis, Monterey, Calif. : Naval Postgraduate School, 2007. http://bosun.nps.edu/uhtbin/hyperion-image.exe/07Jun%5FTzellos.pdf.

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Thesis (M.S. in Electrical Engineering)--Naval Postgraduate School, June 2007.
Thesis Advisor(s): Roberto Cristi. "June 2007." Includes bibliographical references (p. 55-56). Also available in print.
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Margetts, Rebecca. "Modelling & analysis of hybrid dynamic systems using a bond graph approach." Thesis, University of Bath, 2013. https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.600647.

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Hybrid models are those containing continuous and discontinuous behaviour. In constructing dynamic systems models, it is frequently desirable to abstract rapidly changing, highly nonlinear behaviour to a discontinuity. Bond graphs lend themselves to systems modelling by being multi-disciplinary and reflecting the physics of the system. One advantage is that they can produce a mathematical model in a form that simulates quickly and efficiently. Hybrid bond graphs are a logical development which could further improve speed and efficiency. A range of hybrid bond graph forms have been proposed which are suitable for either simulation or further analysis, but not both. None have reached common usage. A Hybrid bond graph method is proposed here which is suitable for simulation as well as providing engineering insight through analysis. This new method features a distinction between structural and parametric switching. The controlled junction is used for the former, and gives rise to dynamic causality. A controlled element is developed for the latter. Dynamic causality is unconstrained so as to aid insight, and a new notation is proposed. The junction structure matrix for the hybrid bond graph features Boolean terms to reflect the controlled junctions in the graph structure. This hybrid JSM is used to generate a mixed-Boolean state equation. When storage elements are in dynamic causality, the resulting system equation is implicit. The focus of this thesis is the exploitation of the model. The implicit form enables application of matrix-rank criteria from control theory, and control properties can be seen in the structure and causal assignment. An impulsive mode may occur when storage elements are in dynamic causality, but otherwise there are no energy losses associated with commutation because this method dictates the way discontinuities are abstracted. The main contribution is therefore a Hybrid Bond Graph which reflects the physics of commutating systems and offers engineering insight through the choice of controlled elements and dynamic causality. It generates a unique, implicit, mixed-Boolean system equation, describing all modes of operation. This form is suitable for both simulation and analysis.
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Özveren, Cüneyt M. "Analysis and control of discrete event dynamic systems : a state space approach." Thesis, Massachusetts Institute of Technology, 1989. http://hdl.handle.net/1721.1/14183.

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Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1989.
GRSN 409176
Includes bibliographical references (leaves 263-267).
by Cüneyt Mehmet Özveren.
Ph.D.
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Hatami, Khosrowshahi S. R. "A non-deterministic approach to dynamic layout planning of flexible manufacturing systems." Thesis, University of Warwick, 1991. http://wrap.warwick.ac.uk/106904/.

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A new approach to the dynamic layout planning problem is proposed which provides solutions to highly variable material flow patterns occurring over a multi-period planning horizon and is especially suitable for flexible manufacturing systems. A non-deterministic environment is considered in which there is assumed to be uncertainty in the future material flow data. The performance of the method is assessed by comparing the solution produced by this method with a set of data provided in the literature for which the claimed optimal solution is known. There is close agreement with the stated solution and the result is obtained with a fraction of the computational effort. The computational efficiency is due to a new construction method to generate static layout solutions. This method uses an algorithm in which the number of stages is proportional to the number of facilities rather than an exponentional relationship as found in most other methods. The method also uses an element of forward planning to ensure that early location assignments provide minimum restriction to assignments made later in the procedure. Results of extensive tests show that the new static layout planning procedure produces solutions generally better than existing construction techniques and comparable with improvement techniques such as CRAFT. The execution speed of the procedure makes it possible to solve large scale problems ( >30 )in very short time scales on Microcomputers. Incorporation of the fast new construction method into dynamic layout planning allows decision making concerning when and how to re-layout facilities in response to changes in predicted material flow.
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Adams, Kevin Page. "An Approach to Real Time Adaptive Decision Making in Dynamic Distributed Systems." Diss., Virginia Tech, 2005. http://hdl.handle.net/10919/25943.

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Efficient operation of a dynamic system requires (near) optimal real-time control decisions. Those decisions depend on a set of control parameters that change over time. Very often, the optimal decision can be made only with the knowledge of future values of control parameters. As a consequence, the decision process is heuristic in nature. The optimal decision can be determined only after the fact, once the uncertainty is removed. For some types of dynamic systems, the heuristic approach can be very effective. The basic premise is that the future values of control parameters can be predicted with sufficient accuracy. We can either predict those value based on a good model of the system or based on historical data. In many cases, the good model is not available. In that case, prediction using historical data is the only option. It is necessary to detect similarities with the current situation and extrapolate future values. In other words, we need to (quickly) identify patterns in historical data that match the current data pattern. The low sensitivity of the optimal solution is critical. Small variations in data patterns should affect minimally the optimal solution. Resource allocation problems and other â discrete decision systemsâ are good examples of such systems. The main contribution of this work is a novel heuristic methodology that uses neural networks for classifying, learning and detecting changing patterns, as well as making (near) real-time decisions. We improve on existing approaches by providing a real-time adaptive approach that takes into account changes in system behavior with minimal operational delay without the need for an accurate model. The methodology is validated by extensive simulation and practical measurements. Two metrics are proposed to quantify the quality of control decisions as well as a comparison to the optimal solution.
Ph. D.
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Trivedi, Nihar. "An approach to display layout of dynamic windows." Thesis, Edith Cowan University, Research Online, Perth, Western Australia, 1997. https://ro.ecu.edu.au/theses/884.

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The development of windows based user interface has introduced a new dimension to the field of human computer interaction. Now a user is able to perform multiple tasks at a time, often switching from one task to another. However windows environment also imposes the burden of manual windows management on the user. Several studies have suggested that manual window management is an unproductive chore often resulting in clutter and confusion on the display screen. Therefore we need a automatic windows layout generator to free the user to perform other useful tasks. This thesis introduces SPORDAC {Shadow Propagation for Overlap Removal and Display Area Compaction) algorithm. This algorithm aims to remove overlap from the display layout and encapsulate the layout in the finite display area. The SPORDAC prototype integrates the SPORDAC algorithm with simulated annealing to optimise the display area usage. The usefulness and applicability of the SPORDAC approach are illustrated with the implementation of a prototype, samples of generated layouts and analysis of the collected data
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Noxon, Nikola John Linn. "A MODEL PREDICTIVE CONTROL APPROACH TO ROLL STABILITY OF A SCALED CRASH AVOIDANCE VEHICLE." DigitalCommons@CalPoly, 2012. https://digitalcommons.calpoly.edu/theses/783.

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In this paper, a roll stability controller (RSC) is presented based on an eight degree of freedom dynamic vehicle model. The controller is designed for and tested on a scaled vehicle performing obstacle avoidance maneuvers on a populated test track. A rapidly-exploring random tree (RRT) algorithm is used for the vehicle to execute a trajectory around an obstacle, and examines the geographic, non-homonymic, and dynamic constraints to maneuver around the obstacle. A model predictive controller (MPC) uses information about the vehicle state and, based on a weighted performance measure, generates an optimal trajectory around the obstacle. The RSC uses the standard vehicle state sensors: four wheel mounted encoders, a steering angle sensor, and a six degree of freedom inertial measurement unit (IMU). An emphasis is placed on the mitigation of rollover and spin-out, however if a safe maneuver is not found and a collision is inevitable, the program will run a brake command to reduce the vehicle speed before impact. The trajectory is updated at a rate of 20 Hz, providing improved stability and maneuverability for speeds up to 10 ft/s and turn angles of up to 20°.
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Sakulsombat, Morakot. "Dynamic Systems: Evaluation, Screening and Synthetic Application." Doctoral thesis, KTH, Organisk kemi, 2011. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-34100.

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The research work reported in the thesis deals with the development of dynamic covalent systems and their applications in evaluation and screening of protein-ligands and enzyme inhibitors, as well as in synthetic methodologies. The thesis is divided into four parts as described below. In part one, synthetic methodologies to access 3-functionalized phthalides and 3-thioisoindolinones using the concept of cascade reactions are demonstrated. Efficient syntheses of the target products are designed and performed in one-pot process under mild reaction conditions.  In part two, phosphine-catalyzed disulfide metathesis for the generation of dynamic carbohydrate system in aqueous solution is demonstrated. In the presence of biological target (Concanavalin A), the optimal dynamic ligand is successfully identified in situ by the 1H STD-NMR spectroscopy. In part three, lipase-catalyzed resolutions of dynamic reversible systems using reversible cyanohydrin and hemithioacetal reactions in one-pot processes are demonstrated. The dynamic systems are generated under thermodynamic control in organic solution and subsequently resolved by lipase-mediated resolution under kinetic control. The resolution processes resulted in the lipase-selected substrates with high structural and stereochemical specificities. In the last part, dynamic fragment-based strategy is presented using β-galactosidase as a model target enzyme. Based on our previous study, the best dynamic inhibitor of β-galactosidase was identified using 1H STD-NMR technique from dynamic hemithioacetal systems. The structure of the dynamic inhibitor is tailored by fragment linking and optimization processes. The designed inhibitor structures are then synthesized and tested for inhibition activities against β-galactosidase.
QC 20110526
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Chung, Tak Shing. "An integrated approach incorporating dynamic and static security limits in optimum power dispatch." Thesis, University of Strathclyde, 1993. http://oleg.lib.strath.ac.uk:80/R/?func=dbin-jump-full&object_id=20375.

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Optimum power dispatch is performed in a power system to determine the most economic power dispatch condition for a certain system loading. In this thesis the main focus is on the investigation of this problem and its improved application by including both dynamic security and static security limits in its solution. The aim is to develop an efficient and practical on-line method of optimum power dispatch with due regard to the necessary security requirements. A critical review of the current practices of security and optimization in power system operation shows that they are essential elements in Energy Management System computer softwares. Since optimality and security present conflicting requirements on system operation, it is both logical and beneficial to develop an integrated approach to satisfy all the security limits in optimum dispatch. The classical approach to consider only the static security limits in optimum dispatch calculation is found to be insufficient in providi ng the essential informations on the dynamic security performance. This problem is causing increasing concern with the recent trend to load power systems more closer to their stability limits in order to achieve maximum economy. A new formulation of the security constrained optimum dispatch problem with an integrated approach to consider both dynamic and static security limits is thus proposed in this thesis. The Optimum Power Flow ( OPF ) formulation uses a Recursive Quadratic Programming algorithm applied in the compact modelling of the system. This formulation consists of a decoupling process of the active and reactive power optimizations. The investigation into on-line security control shows that insufficient attention on dynamic security in present practice could endanger the system integrity in the contingency state. This leads to the development of a new scheme to integrate both dynamic and static security assessments. Direct application of classical transient stability assessment methods using numerical integration of swing equations is found to be too slow and a new method based on reduced dynamic equivalent is investigated. The method is based on an efficient dynamic security assessment scheme which assesses the on-line operating state of the system. A dynamic security margin is defined to measure the robustness of the system when it is subjected to a selected scenario of dynamic contingency. The method also identifies the critical machine or cluster of machines that would cause transient instability, and proposes preventive control strategies to improve the dynamic security performance. This is integrated in the approach as a preventive control module. The module aims to prevent the system from reaching probable system collapse due to contingency that could cause cascading tripouts in the system. Extensive simulation tests are performed using the approach in several example networks together with validation case studies compared to full load flow and transient stability tests. The results demonstrate that the approach is fast and reliable with good potential for on-line application in stability limited power systems.
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Haines, Susan Lesley. "Using dynamic rough sets to capture behavioural uncertainty : a space based modelling approach." Thesis, University of York, 1997. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.387622.

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Chen, Daphne Wei-chen. "Integrative modelling of glucocorticoid induced apoptosis with a systems biology approach." Thesis, University of Manchester, 2013. https://www.research.manchester.ac.uk/portal/en/theses/integrative-modelling-of-glucocorticoid-induced-apoptosis-with-a-systems-biology-approach(a05039a1-f3e3-44d2-959e-0fade52a28a1).html.

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Glucocorticoids (GCs) have an important role in anti-inflammation, apoptosis and immunomodulatory activity. GCs exert their effect by binding to their receptor, glucocorticoid receptor (GR), which subsequently triggers receptor dimerisation, nuclear translocation and eventually causes impact on transcriptional activity. Such regulatory mechanism is complex as it is not only controlled at the transcription level, but also at the post translational level with other contributing factors such as protein stability and cofactor recruitment. Glucocorticoids are commonly used as part of the chemotherapeutical protocols for lymphoid malignancies and have been successfully implicated in treating childhood acute lymphoblastic leukaemia (ALL). Nevertheless, resistance and side effects such as muscle atrophy and osteoporosis still occur frequently.With the advance in high-throughput technology, vast amount of data on various scales, including genomics, proteomics, and metabolomics make the molecular study of cancer more complicated. The rise of systems biology helps the scientist to address this problem with the use of computation. Although the concept and the approach may vary depending on the research fields, the ultimate goal remains the same which is to create a comprehensive understanding of biological processes and to forecast outcome.The goal of this body of work is to better understand glucocorticoid induced apoptosis in acute lymphoblastic leukaemia by adopting a systems biology approach. As the Bcl-2 family, particularly Bim is known to be a key determinant of GC-induced apoptosis, we investigated the molecular mechanism of GC induction of Bim. By adopting ordinary differential equation modelling approach, we were able to make prediction and investigate details of Bim regulation by GCs. Further to this, we carried out an integrated microarray analysis in various ALL to study GC resistance and identified crucial candidate gene c-Jun as a regulator of Bim and Erg as a determinant for GC resistance. These results allowed us to refine our models and enabled more answers to be addressed. In conclusion, our findings not only suggest potential regulatory mechanisms for determining GC sensitivity, they also aid us to find potential biomarkers for determining GC resistance. More importantly, this study represents a successful example for utilising systems biology to study the genetic complexity in cancer.
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Mazariegos, Raquel. "Optimal allocation of load variability for hydro systems : a stochastic dynamic programming approach." Thesis, University of British Columbia, 2006. http://hdl.handle.net/2429/31973.

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The deregulation of the electric industry has motivated the companies involved in electricity business to optimize their system resources to remain competitive, but without overlooking the traditional objective of providing customers with an efficient and uninterrupted service. This requirement, in addition to the availability of detailed information on every specific system component, has encouraged the system operators to use optimization techniques for system planning and operation. One of the most important functions that the system operator performs is the system Economic Dispatch. Economic Dispatch guarantees that the electric load demand is allocated among the available generation system units in the most economical and efficient way possible. A detailed study and analysis of the factors influencing the performance of the generating system found that up to now old models and methods did not address and acknowledge the within-the-hour uncertainty in load prediction despite the fact that it is considered to be one of its main and most important inputs. Research on load forecasting have showed that the electric load forecasting techniques have been developed to the point where the magnitudes of errors have been optimized and further reduction of the error will be hard to achieve. Thus, the optimization opportunity for Economic Dispatch does not reside on spending more resources on achieving a more accurate load forecast, but on the fact that within-the hour load uncertainty can be modeled and exploited to provide quantitative information for decision making support. This research work uses a dynamic programming algorithm to allocate uncertainty in load forecast. The first method is a traditional approach that only considers the production costs for the economic dispatch decision, and the second one takes into account the seasonal variability in the load forecast error to find the most likely load increment to allocate and then provide the best dispatch scheme for the three largest plants in the BC Hydro's generating system.
Applied Science, Faculty of
Civil Engineering, Department of
Graduate
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40

Dinca, Laurian G. "A probabilistic approach to parameter estimation towards fault diagnosis in nonlinear dynamic systems /." The Ohio State University, 1997. http://rave.ohiolink.edu/etdc/view?acc_num=osu1487946103565961.

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Schneider, Etienne. "A middleware approach for dynamic real-time software : reconfiguration on distributed embedded systems." Université Louis Pasteur (Strasbourg) (1971-2008), 2004. https://publication-theses.unistra.fr/public/theses_doctorat/2004/SCHNEIDER_Etienne_2004.pdf.

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La reconfiguration dynamique d'un logiciel peut être un auxiliaire utile pour adapter et maintenir des systèmes informatiques. Dans la plupart des approches, le système doit être interrompu pour que la reconfiguration puisse être exécutée. Cette interruption ne peut convenir aux systèmes temps-réel : il est nécessaires que les contraintes temporelles soient respectées, même lorsque le système est en train d'être reconfiguré. Notre approche se base sur OSA+, un middleware temps-réel. Notre objectif principal est d'être capable de reconfigurer un (ou plusieurs) service lorsque le système est en fonction, avec un temps de non-réponse prévisible et prédéfini, c'est-à-dire un temps pendant lequel le système ne réagit pas à cause de la reconfiguration. Trois approches différentes concernant le blocage ou le non-blocage d'un service sont présentées. Ces approches peuvent être utilisées pour réaliser un compromis entre le temps de reconfiguration et le temps de non-réponse
Dynamic software reconfiguration is a useful tool to adapt and maintain software systems. In most approaches, the system has to be stopped while the reconfiguration is in progress. This is not suitable for real-time systems. Timing constraints must be met even while the system is reconfiguring. Our approach is based on the real-time middleware OSA+. Our main objective is to be able to reconfigure one (or more) service during the run-time, with a predictable and predefined blackout time (the time the systems does not react due to the reconfiguration). Three different approaches concerning the blocking or non-blocking state of a service are presented. These approaches can be used to realize a tradeoff between the reconfiguration time and the blackout time
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Foo, Brian. "Towards a systematic approach for modeling and optimizing distributed and dynamic multimedia systems." Diss., Restricted to subscribing institutions, 2008. http://proquest.umi.com/pqdweb?did=1670312041&sid=1&Fmt=2&clientId=1564&RQT=309&VName=PQD.

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43

Keung, Yik. "Dynamic threshold call admission control policy of multi-service wireless cellular networks : a statistical approach /." View abstract or full-text, 2004. http://library.ust.hk/cgi/db/thesis.pl?PHYS%202004%20KEUNG.

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Thesis (M. Phil.)--Hong Kong University of Science and Technology, 2004.
Includes bibliographical references (leaves 80-81). Also available in electronic version. Access restricted to campus users.
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Mitchell, Sophia. "A Cascading Fuzzy Logic Approach for Decision Making in Dynamic Applications." University of Cincinnati / OhioLINK, 2016. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1448037866.

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Marshburn, David G. "Agile Software Development Approach and Firm Performance: Exploring Dynamic Capabilities as the Missing Link." Cleveland State University / OhioLINK, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=csu1589465728412254.

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Mendoza, Cervantes Francisco [Verfasser]. "A Problem-Oriented Approach for Dynamic Verification of Heterogeneous Embedded Systems / Francisco Mendoza Cervantes." Karlsruhe : KIT Scientific Publishing, 2014. http://www.ksp.kit.edu.

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47

Yang, Jianfeng. "Ritz Vector Approach for Evaluating the Dynamic Properties of Structural Systems and Incabinet Spectra." NCSU, 2001. http://www.lib.ncsu.edu/theses/available/etd-20010109-114554.

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YANG, JIANFENG. Ritz Vector Approach for Evaluating the Dynamic Properties of Structural Systems and Incabinet Spectra. (Under the direction of Abhinav Gupta)The earthquake input needed in a shake table test for the seismic qualification of safety related electrical instruments, typically mounted on electrical cabinets or control panels, is defined in terms of incabinet response spectrum. This dissertation presents modifications to the originally proposed Ritz vector approach developed by Rustogi et al. (1998) for evaluating the dynamic properties of the cabinets and the incabinet spectra. Modifications are needed to overcome the limitations encountered in the application to actual cabinets. The accuracy of the modified formulations is evaluated by comparison of results for actual cabinets with the corresponding results obtained from detailed finite element analyses. The modified Ritz vector approach can account for actual rotational constraints imparted by supporting structural members such as stiffeners. It can also be applied to bench board type cabinets in which instruments are mounted on plates or frames that are inclined to the global axes as well as to frames in which parallel frame members can vibrate in different vibration shapes.In this dissertation, detailed finite element analyses are used to study the rocking behavior of cabinets and to show that accurate representation of the boundary conditions at the cabinet base is essential in the evaluation of cabinet rocking mode. Simple formulations are developed for evaluating the rocking stiffness in three different types of cabinet mounting arrangements. These formulations enable incorporation of a cabinet rocking mode in the Ritz vector approach.The Ritz vector approach is also used to develop new formulations for evaluating static and dynamic characteristics of rectangular slabs with edge beams. The effect of elastic edge restraints is considered by including appropriate integrals for edge beams in the expressions for total kinetic and potential energies in a Rayleigh-Ritz approach. The effect of various types of boundary conditions at the beam ends is accounted for by considering the corresponding Ritz vectors. The contribution of beam mass to the total kinetic energy is also considered in the proposed approach.

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Lee, Jung-Hoon. "The modelling and simulation of dynamic supply chain networks : a multi-agent systems approach." Thesis, University of Cambridge, 2003. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.411233.

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Rank, Aaron. "A novel experimental approach using a reconfigurable test setup for complex nonlinear dynamic systems." Master's thesis, University of Central Florida, 2011. http://digital.library.ucf.edu/cdm/ref/collection/ETD/id/5014.

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Experimental nonlinear dynamics is an important area of study in the modern engineering field, with engineering applications in structural dynamics, structural control, and structural health monitoring. As a result, the discipline has experienced a great influx of research efforts to develop a versatile and reliable experimental methodology. A technical challenge in many experimental studies is the procurement of a device that exhibits the desired nonlinear behavior. As a result, many researchers have longed for a versatile, but accurate, testing methodology that has complete freedom to simulate a wide range of nonlinearities and stochastic behaviors. The objective of this study is to develop a reconfigurable test setup as a tool to be used in a wide range of nonlinear dynamic studies. The main components include a moving mass whose restoring force can accurately be controlled and reprogrammed (with software) based upon measured displacement and velocity readings at each time step. The device offers control over nonlinear characteristics and the equation of dynamic motion. The advantage of having such an experimental setup is the ability to simulate various types of nonlinearities with the same test setup. As a result, the data collected can be used to help validate nonlinear modeling, system identification, and stochastic analysis studies. A physical test apparatus was developed, and various mechanical, electrical, and programming calibrations were performed for reliable experimental studies. To display potential uses for the reconfigurable approach, examples are presented where the device has been used to create physical data for use in change detection and deterioration studies. In addition, a demonstration is presented of the device's ability to physically simulate a large-scale orifice viscous damper, devices commonly used for vibration mitigation in bridges and buildings.; For a large-scale viscous damper, physical testing is required to ensure structural design properties. However, due to the large scale of the dampers, expensive dynamic loading tests can be carried out at a very limited number of facilities. Using the reconfigurable test setup, the dynamic signature of the large-scale viscous damper can accurately be simulated with pre-collected data. The development of a system capable of emulating the restoring force of a nonlinear device with software is a novel approach and requires further calibration for increased reliability and accuracy. A discussion regarding the challenges faced when developing the methodology is presented and possible solutions are recommended. The methodology introduced by this apparatus is very promising. The device is a valuable experimental tool for researchers and designers, allowing for physical data collection, modeling, analysis, and validation of a wide class of nonlinear phenomena that commonly occur in a wide variety of engineering applications.
ID: 030423494; System requirements: World Wide Web browser and PDF reader.; Mode of access: World Wide Web.; Thesis (M.S.)--University of Central Florida, 2011.; Includes bibliographical references (p. 132-137).
M.S.
Masters
Civil, Environmental and Construction Engineering
Engineering and Computer Science
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50

Eyries, Pascal. "A dynamic distributed-parameter modeling approach for performance monitoring of oral drug delivery systems." Link to electronic thesis, 2003. http://www.wpi.edu/Pubs/ETD/Available/etd-0501103-161142.

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Thesis (M.S.)--Worcester Polytechnic Institute.
Keywords: mass balance approach; bioavailability; drug delivery; dynamic modeling; partial differential equations; sensitivity analysis; dynamic simulations. Includes bibliographical references (p. 62-67).
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