Relevant bibliographies by topics / Dynamic systems approach

Academic literature on the topic 'Dynamic systems approach'

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Published: 4 June 2021
Last updated: 20 February 2023

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Journal articles on the topic "Dynamic systems approach"

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Verlan, A. A., and Jo Sterten. "Intelligent Object-Oriented Approach to Dynamic Energy Systems’ Modelling." Mathematical and computer modelling. Series: Technical sciences, no. 21 (November 2, 2020): 43–51. http://dx.doi.org/10.32626/2308-5916.2020-21.43-51.

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Pervin, Lawrence A. "A Dynamic Systems Approach to Personality." European Psychologist 6, no. 3 (September 2001): 172–76. http://dx.doi.org/10.1027//1016-9040.6.3.172.

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David Magnusson has been the most articulate spokesperson for a holistic, systems approach to personality. This paper considers three concepts relevant to a dynamic systems approach to personality: dynamics, systems, and levels. Some of the history of a dynamic view is traced, leading to an emphasis on the need for stressing the interplay among goals. Concepts such as multidetermination, equipotentiality, and equifinality are shown to be important aspects of a systems approach. Finally, attention is drawn to the question of levels of description, analysis, and explanation in a theory of personality. The importance of the issue is emphasized in relation to recent advances in our understanding of biological processes. Integrating such advances into a theory of personality while avoiding the danger of reductionism is a challenge for the future.
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Martínez-Marín, Sindy, Nataly Puello-Pereira, and David Ovallos-Gazabon. "Cluster Competitiveness Modeling: An Approach with Systems Dynamics." Social Sciences 9, no. 2 (February 7, 2020): 12. http://dx.doi.org/10.3390/socsci9020012.

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This study makes a systemic review to cluster and create a competitiveness relationship considering a systems dynamics approach. A dynamic hypothesis was constructed to validate what factors increase a cluster’s level of competitiveness, through causal analysis. Then, the causal diagram that validates the dynamic H0 hypothesis was constructed in Vensim PLE systems®. Literature review shows the evolution of the cluster system according to the current needs of the market, and emphasizes the need for new approaches and models that capture the complexity and dynamics of this system, allowing the understanding of its structure and the evaluation of the contribution of factors and capabilities to cluster competitiveness. It highlights the usefulness of systems dynamics as a simulation methodology for dynamic and complex systems, and establishes itself as a growing line of research applied to various systems of study. Dynamic hypothesis H0 was validated using the causal diagram, reaching the conclusion that innovation, productive management, financial management, organizational management, commercial management, and cluster management factors positively increase the cluster competitiveness level. From structure analysis, the behavior is associated to the archetype “Path Dependence”, usual in growing industrial markets.
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Bielecki, Andrzej, Andrzej Kokoszka, and Pawel Holas. "Dynamic Systems Theory Approach to Consciousness." International Journal of Neuroscience 104, no. 1 (January 2000): 29–47. http://dx.doi.org/10.3109/00207450009035007.

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Moreno, L., J. A. Mendez, A. Hamilton, L. Acosta, J. D. Pineiro, and L. Sanchez. "Dynamic programming approach for nonlinear systems." IEE Proceedings - Control Theory and Applications 141, no. 6 (November 1, 1994): 409–17. http://dx.doi.org/10.1049/ip-cta:19941503.

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Jones, Lauren M., Alfredo Fontanini, and Donald B. Katz. "Gustatory processing: a dynamic systems approach." Current Opinion in Neurobiology 16, no. 4 (August 2006): 420–28. http://dx.doi.org/10.1016/j.conb.2006.06.011.

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Chen, C. F., and C. H. Hsiao. "Wavelet approach to optimising dynamic systems." IEE Proceedings - Control Theory and Applications 146, no. 2 (March 1, 1999): 213–19. http://dx.doi.org/10.1049/ip-cta:19990516.

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van Geert, Paul L. C., and Anna Lichtwarck-Aschoff. "A Dynamic Systems Approach to Family Assessment." European Journal of Psychological Assessment 21, no. 4 (January 2005): 240–48. http://dx.doi.org/10.1027/1015-5759.21.4.240.

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Abstract. The dynamic systems approach provides a general framework for studying processes. Properties of that approach are applied to the issue of family assessment. The description covers methods of assessment of short-term processes (e.g., dyadic interaction) and long-term processes (e.g., changes in interaction patterns over years). Special attention is given to the meaning of fluctuation and its relation to transitions and changes of the family system's properties. Two examples of assessment methods and procedures are discussed. One concerns the use of state space representations, the other the design of family studies, encompassing the use of mathematical models of the hypothesized underlying processes.
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Udwadia, Firdaus E., and Ramin S. Esfandiari. "Nonclassically Damped Dynamic Systems: An Iterative Approach." Journal of Applied Mechanics 57, no. 2 (June 1, 1990): 423–33. http://dx.doi.org/10.1115/1.2892007.

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This paper presents a new, computationally efficient, iterative technique for determining the dynamic response of nonclassically damped, linear systems. Such systems often arise in structural and mechanical engineering applications. The technique proposed in this paper is heuristically motivated and iteratively obtains the solution of a coupled set of second-order differential equations in terms of the solution to an uncoupled set. Rigorous results regarding sufficient conditions for the convergence of the iterative technique have been provided. These conditions encompass a broad variety of situations which are commonly met in structural dynamics, thereby making the proposed iterative scheme widely applicable. The method also provides new physical insights concerning the decoupling procedure and shows why previous approximate approaches for uncoupling nonclassically damped systems have led to large inaccuracies. Numerical examples are presented to indicate that, even under perhaps the least ideal conditions, the technique converges rapidly to provide the exact time histories of response.
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Manzano, Wallace, Valdemar Vicente Graciano Neto, and Elisa Yumi Nakagawa. "Dynamic-SoS: An Approach for the Simulation of Systems-of-Systems Dynamic Architectures." Computer Journal 63, no. 5 (April 12, 2019): 709–31. http://dx.doi.org/10.1093/comjnl/bxz028.

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Abstract Systems-of-Systems (SoS) combine heterogeneous, independent systems to offer complex functionalities for highly dynamic smart applications. Besides their dynamic architecture with continuous changes at runtime, SoS should be reliable and work without interrupting their operation and with no failures that could cause accidents or losses. SoS architectural design should facilitate the prediction of the impact of architectural changes and potential failures due to SoS behavior. However, existing approaches do not support such evaluation. Hence, these systems have been usually built without a proper evaluation of their architecture. This article presents Dynamic-SoS, an approach to predict/anticipate at design time the SoS architectural behavior at runtime to evaluate whether the SoS can sustain their operation. The main contributions of this approach comprise: (i) characterization of the dynamic architecture changes via a set of well-defined operators; (ii) a strategy to automatically include a reconfiguration controller for SoS simulation; and (iii) a means to evaluate architectural configurations that an SoS could assume at runtime, assessing their impact on the viability of the SoS operation. Results of our case study reveal Dynamic-SoS is a promising approach that could contribute to the quality of SoS by enabling prior assessment of its dynamic architecture.
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Dissertations / Theses on the topic "Dynamic systems approach"

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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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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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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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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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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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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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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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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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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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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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Books on the topic "Dynamic systems approach"

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A dynamic systems approach of adolescent development. Hove: Psychology Press, 2011.

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Institute for Business Planning, inc., ed. Managing the growing plant: A dynamic systems approach. Englewood Cliffs, NJ: Institute for Business Planning, 1985.

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1950-, O'Shaughnessy Douglas, ed. Speech processing: A dynamic and optimization-oriented approach. New York: Marcel Dekker, 2003.

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Community design: A team approach to dynamic community systems. Thousand Oaks, Calif: Sage Publications, 1999.

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O, Beale Guy, and Chicatelli S. P. 1964-, eds. Digital simulation of dynamic systems: A control theory approach. Englewood Cliffs, NJ: PTR Prentice Hall, 1994.

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Jungclaus, Ralf. Modeling of dynamic object systems: A logic based approach. Wiesbaden: Vieweg, 1993.

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Song, Bongsob. Dynamic surface control of uncertain nonlinear systems: An LMI approach. London: Springer, 2011.

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Veres, Sandor M. Structure selection of stochastic dynamic systems: The information criterion approach. New York: Gordon and Breach Science Publishers, 1990.

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Veres, Sándor M. Structure selection of stochastic dynamic systems: The information criterion approach. New York: Gordon and Breach Science Publishers, 1991.

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Dynamic system reconfiguration in heterogeneous platforms: The MORPHEUS approach. Dordrecht: Springer, 2009.

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Book chapters on the topic "Dynamic systems approach"

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Shoikhet, David, and Mark Elin. "Dynamic Approach." In Linearization Models for Complex Dynamical Systems, 17–37. Basel: Birkhäuser Basel, 2010. http://dx.doi.org/10.1007/978-3-0346-0509-0_2.

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Puig, Vicenç, María Jesús de la Fuente, and Joaquim Armengol. "FDI Approach." In Fault Diagnosis of Dynamic Systems, 69–95. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-17728-7_4.

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Kurzhanski, Alexander B., and Pravin Varaiya. "The Dynamic Programming Approach." In Systems & Control: Foundations & Applications, 47–86. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-10277-1_2.

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de Raad, Wouter E. "A Dynamic Approach to Multicultural Integration." In Understanding Complex Systems, 131–51. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-31436-0_8.

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Rakhmangulov, Aleksandr, Aleksander Sładkowski, Nikita Osintsev, Pavel Mishkurov, and Dmitri Muravev. "Dynamic Optimization of Railcar Traffic Volumes at Railway Nodes." In Rail Transport—Systems Approach, 405–56. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-51502-1_10.

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Yoo, Sangjo, Myungchul Kim, and Deukyoon Kang. "An approach to dynamic protocol testing." In Testing of Communicating Systems, 183–99. Boston, MA: Springer US, 1997. http://dx.doi.org/10.1007/978-0-387-35198-8_12.

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Bestle, Dieter, and Peter Eberhard. "Automated Approach for Optimizing Dynamic Systems." In Computational Optimal Control, 225–35. Basel: Birkhäuser Basel, 1994. http://dx.doi.org/10.1007/978-3-0348-8497-6_18.

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Sirbiladze, Gia. "On the Genetic Algorithms Approach and Software Library." In Extremal Fuzzy Dynamic Systems, 369–74. New York, NY: Springer New York, 2012. http://dx.doi.org/10.1007/978-1-4614-4250-9_12.

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Qadeer, Aiman, and Usman Qamar. "A Dynamic Ensemble Selection Framework Using Dynamic Weighting Approach." In Advances in Intelligent Systems and Computing, 330–39. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-29516-5_25.

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To, T. P. Jimmy, and Babak Hamidzadeh. "A Dynamic Approach to VOD Scheduling." In Interactive Video-On-Demand Systems, 23–53. Boston, MA: Springer US, 1998. http://dx.doi.org/10.1007/978-1-4615-5635-0_4.

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Conference papers on the topic "Dynamic systems approach"

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Zhrabok, Alexey, Alexey Shumsky, and Bin Jiang. "Logic-dynamic approach to study nonlinear dynamic systems." In 2015 IEEE 7th International Conference on Cybernetics and Intelligent Systems (CIS) and IEEE Conference on Robotics, Automation and Mechatronics (RAM). IEEE, 2015. http://dx.doi.org/10.1109/iccis.2015.7274546.

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Hui, Qing, Jinglai Shen, and Wei Qiao. "Dynamic Security Analysis of Electric Power Systems: Passivity-Based Approach and Positive Invariance Approach." In ASME 2010 Dynamic Systems and Control Conference. ASMEDC, 2010. http://dx.doi.org/10.1115/dscc2010-4111.

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Security is a critical issue in modern power system operation. With the aid of analytic tools for large-scale and hybrid systems, this paper proposes two new safety verification methods for power systems. The first method is based on barrier certificates and passivity. This method provides a general safety verification framework for power systems with the port-Hamiltonian structure. The energy shaping technique is also exploited to attain safety conditions for controlled port-Hamiltonian systems. The second method, based on positive invariance, yields exact safety verification for power systems based on linearized models, particularly linear Hamiltonian systems. Decidability of exact safety verification is established via algebraic and positive invariance approaches; other analytic and numerical issues are addressed from the positive invariance perspective.
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Grohmann, Axel, Roland Kopetzky, and Alexander Lurk. "Agents: An approach for dynamic process modelling." In COMPUTING ANTICIPATORY SYSTEMS. ASCE, 1999. http://dx.doi.org/10.1063/1.58248.

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Sovizi, Javad, Aliakbar Alamdari, and Venkat N. Krovi. "A Random Matrix Approach to Manipulator Jacobian." In ASME 2013 Dynamic Systems and Control Conference. American Society of Mechanical Engineers, 2013. http://dx.doi.org/10.1115/dscc2013-3950.

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Traditional kinematic analysis of manipulators, built upon a deterministic articulated kinematic modeling often proves inadequate to capture uncertainties affecting the performance of the real robotic systems. While a probabilistic framework is necessary to characterize the system response variability, the random variable/vector based approaches are unable to effectively and efficiently characterize the system response uncertainties. Hence in this paper, we propose a random matrix formulation for the Jacobian matrix of a robotic system. It facilitates characterization of the uncertainty model using limited system information in addition to taking into account the structural inter-dependencies and kinematic complexity of the manipulator. The random Jacobian matrix is modeled such that it adopts a symmetric positive definite random perturbation matrix. The maximum entropy principle permits characterization of this perturbation matrix in the form of a Wishart distribution with specific parameters. Comparing to the random variable/vector based schemes, the benefits now include: incorporating the kinematic configuration and complexity in the probabilistic formulation, achieving the uncertainty model using limited system information (mean and dispersion parameter), and realizing a faster simulation process. A case study of a 6R serial manipulator (PUMA 560) is presented to highlight the critical aspects of the process. A Monte Carlo analysis is performed to capture the deviations of distal path from the desired trajectory and the statistical analysis on the realizations of the end effector position and orientation shows how the uncertainty propagates throughout the system.
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Stefanuk, Vadim. "Dynamic Knowledge Processing - Practical Approach." In 2007 International Conference on Integration of Knowledge Intensive Multi-Agent Systems. IEEE, 2007. http://dx.doi.org/10.1109/kimas.2007.369779.

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Cristea, Radu Nicolae. "Dynamic Decision Systems A Fuzzy-Duopoly Approach." In 2009 13th Panhellenic Conference on Informatics. IEEE, 2009. http://dx.doi.org/10.1109/pci.2009.22.

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da Silva, Marcio J., Carlos E. Pereira, and Marcelo Gotz. "A dynamic approach for industrial alarm systems." In 2016 International Conference on Computer, Information and Telecommunication Systems (CITS). IEEE, 2016. http://dx.doi.org/10.1109/cits.2016.7546404.

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Ramani, Keval S., and Chinedum E. Okwudire. "Robust Filtered Basis Functions Approach for Feedforward Tracking Control." In ASME 2018 Dynamic Systems and Control Conference. American Society of Mechanical Engineers, 2018. http://dx.doi.org/10.1115/dscc2018-9196.

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This paper proposes a robust filtered basis functions approach for feedforward tracking of linear time invariant systems with dynamic uncertainties. Identical to the standard filtered basis functions (FBF) approach, the robust FBF approach expresses the control trajectory as a linear combination of user-defined basis functions with unknown coefficients. The basis functions are forward filtered using a model of the plant and their coefficients are selected to minimize tracking errors. The standard FBF and robust FBF approaches differ in the filtering process. The robust FBF approach uses an optimal robust filter which is based on minimization of a frequency domain based error cost function over the dynamic uncertainty, whereas, the standard FBF approach uses the nominal model. Simulation examples and experiments on a desktop 3D printer are used to demonstrate significantly more accurate tracking of uncertain plants using robust FBF compared with the standard FBF.
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Luber, Matthias, Kai O. Arras, Christian Plagemann, and Wolfram Burgard. "Classifying Dynamic Objects: An Unsupervised Learning Approach." In Robotics: Science and Systems 2008. Robotics: Science and Systems Foundation, 2008. http://dx.doi.org/10.15607/rss.2008.iv.035.

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Lin, Yingzi, and Hua Cai. "A General Framework for Control Systems Approach to Collaborative Human-Machine Systems." In ASME 2009 Dynamic Systems and Control Conference. ASMEDC, 2009. http://dx.doi.org/10.1115/dscc2009-2661.

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This paper presents a new work for the effective management of human-machine collaboration by applying a model-based control systems approach. One fundamental idea is that contemporary machines are assumed to be equipped with human assistance systems (HAS) with varying levels of intelligences. Thus, machines are collaboratively managed by both the human and HAS. This view goes beyond the full automation paradigm which is considered as a special case and is more general than the human-machine interaction paradigm. Another fundamental idea is to take a control systems view of collaborative human-machine systems, especially the so-called model-based control systems paradigm. The HAS technology is developed based on these two views. This paper in particular describes details of these two views along with a preliminary development of a HAS system for management of human cognitive engagement through regulating a multi-modal interface in a car-following case study. HAS revoked drivers’ cognition engagement for decision making first and retained the right of action interception as last. This approach demonstrated reduced driver intrusion while maintaining similar driving safety. In general, this approach minimized the deviation between the required human cognitive interference with the human state and the actual level of the interference based on the machine state.
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Reports on the topic "Dynamic systems approach"

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Kagal, Lalana, Sasikanth Avancha, Vladimir Korolev, Anupam Joshi, and Tim Finin. An Approach to Dynamic Service Management in Pervasive Computing Systems. Fort Belvoir, VA: Defense Technical Information Center, January 2005. http://dx.doi.org/10.21236/ada440419.

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Seale, Maria, Natàlia Garcia-Reyero, R. Salter, and Alicia Ruvinsky. An epigenetic modeling approach for adaptive prognostics of engineered systems. Engineer Research and Development Center (U.S.), July 2021. http://dx.doi.org/10.21079/11681/41282.

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Prognostics and health management (PHM) frameworks are widely used in engineered systems, such as manufacturing equipment, aircraft, and vehicles, to improve reliability, maintainability, and safety. Prognostic information for impending failures and remaining useful life is essential to inform decision-making by enabling cost versus risk estimates of maintenance actions. These estimates are generally provided by physics-based or data-driven models developed on historical information. Although current models provide some predictive capabilities, the ability to represent individualized dynamic factors that affect system health is limited. To address these shortcomings, we examine the biological phenomenon of epigenetics. Epigenetics provides insight into how environmental factors affect genetic expression in an organism, providing system health information that can be useful for predictions of future state. The means by which environmental factors influence epigenetic modifications leading to observable traits can be correlated to circumstances affecting system health. In this paper, we investigate the general parallels between the biological effects of epigenetic changes on cellular DNA to the influences leading to either system degradation and compromise, or improved system health. We also review a variety of epigenetic computational models and concepts, and present a general modeling framework to support adaptive system prognostics.
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Schneuwly, Sonja, and Caroline Chandler. Evaluation of transformational R&I policy: Lessons learned based on a retrospective review of food systems R&I investment in the EU. Fteval - Austrian Platform for Research and Technology Policy Evaluation, April 2022. http://dx.doi.org/10.22163/fteval.2022.549.

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This paper shares our experience of developing an EU-level baseline for research and innovation (R&I) in food systems, in support of the European Commission’s transformation agenda, with specific reference to the Food 2030 initiative. Food 2030 relates to the EU’s mission-oriented approach to R&I, viewing it within the context of a dynamic food system with multiple dependencies and many different actors. This approach aligns with a growing recognition that, in order to achieve transformational change, the interactions and interdependencies of all components within a given system and its relationship to other systems must be considered. In a transformative R&I system, innovation itself is no longer the endgoal but is viewed as an enabler to solve societal and environmental challenges (the end-objective). Linking such broader outcomes back to specific R&I inputs is not a straightforward endeavour. Furthermore, the inter- and transdisciplinary nature of a systems approach, as well as the nature of systems thinking itself, make it hard to define evaluative boundaries. Traditional public sector approaches to supporting R&I do not align well with such an approach, with implications for evaluating R&I policy. The paper focuses specifically on the novel aspects of the EU’s approach to framing food systems R&I and the evaluation challenges this presents, as well as how we have worked to mitigate these.
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Aiginger, Karl, Andreas Reinstaller, Michael Böheim, Rahel Falk, Michael Peneder, Susanne Sieber, Jürgen Janger, et al. Evaluation of Government Funding in RTDI from a Systems Perspective in Austria. Synthesis Report. WIFO, Austria, August 2009. http://dx.doi.org/10.22163/fteval.2009.504.

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In the spring of 2008, WIFO, KMU Forschung Austria, Prognos AG in Germany and convelop were jointly commissioned by the Austrian Federal Ministry for Transport, Innovation and Technology and the Austrian Federal Ministry of Economy, Family and Youth to perform a systems evaluation of the country's research promotion and funding activities. Based on their findings, six recommendations were developed for a change in Austrian RTDI policy as outlined below: 1. to move from a narrow to a broader approach in RTDI policy (links to education policy, consideration of the framework for innovation such as competition, international perspectives and mobility); 2. to move from an imitation to a frontrunner strategy (striving for excellence and market leadership in niche and high-quality segments, increasing market shares in advanced sectors and technology fields, and operating in segments of relevance for society); 3. to move from a fragmented approach to public intervention to a more coordinated and consistent approach(explicit economic goals, internal and external challenges and reasoning for public intervention); 4. to move from a multiplicity of narrowly defined funding programmes to a flexible, dynamic policy that uses a broader definition of its tasks and priorities (key technology and research segments as priority-action fields, adequate financing of clusters and centres of excellence); 5. to move from an unclear to a precisely defined allocation of responsibilities between ministries and other players in the field (high-ranking steering group at government level, monitoring by a Science, Research and Innovation Council); 6. to move from red-tape-bound to a modern management of public intervention (institutional separation between ministries formulating policies and agencies executing them, e.g., by "progressive autonomy").
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Perdigão, Rui A. P. Earth System Dynamic Intelligence - ESDI. Meteoceanics, April 2021. http://dx.doi.org/10.46337/esdi.210414.

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Earth System Dynamic Intelligence (ESDI) entails developing and making innovative use of emerging concepts and pathways in mathematical geophysics, Earth System Dynamics, and information technologies to sense, monitor, harness, analyze, model and fundamentally unveil dynamic understanding across the natural, social and technical geosciences, including the associated manifold multiscale multidomain processes, interactions and complexity, along with the associated predictability and uncertainty dynamics. The ESDI Flagship initiative ignites the development, discussion and cross-fertilization of novel theoretical insights, methodological developments and geophysical applications across interdisciplinary mathematical, geophysical and information technological approaches towards a cross-cutting, mathematically sound, physically consistent, socially conscious and operationally effective Earth System Dynamic Intelligence. Going beyond the well established stochastic-dynamic, information-theoretic, artificial intelligence, mechanistic and hybrid techniques, ESDI paves the way to exploratory and disruptive developments along emerging information physical intelligence pathways, and bridges fundamental and operational complex problem solving across frontier natural, social and technical geosciences. Overall, the ESDI Flagship breeds a nascent field and community where methodological ingenuity and natural process understanding come together to shed light onto fundamental theoretical aspects to build innovative methodologies, products and services to tackle real-world challenges facing our planet.
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Kaffenberger, Michelle, and Marla Spivack. System Coherence for Learning: Applications of the RISE Education Systems Framework. Research on Improving Systems of Education (RISE), January 2022. http://dx.doi.org/10.35489/bsg-risewp_2022/086.

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In recent decades, education systems in most low- and middle-income countries (LMICs) have rapidly expanded access to schooling, but learning has lagged behind. There are many reasons for low learning in LMICs. Proximate determinants (such as insufficient financing or poor school management) receive much attention, but focus on these often ignores underlying system drivers. In this chapter we use a systems approach to describe underlying system dynamics that drive learning outcomes. To do so, we first describe the RISE education systems framework and then apply it to two cases. In the case of Sobral, Brazil, the systems framework illustrates how a coherent package of reforms, improving upon multiple system components, produced positive outcomes. In the case of Indonesia, a reform that increased teacher pay, but did not change underlying system dynamics, had no impact on learning. The chapter shows how a systems approach can help to understand success, diagnose failure, and inform action to bring about improvements to children’s learning.
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Nechaev, V., Володимир Миколайович Соловйов, and A. Nagibas. Complex economic systems structural organization modelling. Politecnico di Torino, 2006. http://dx.doi.org/10.31812/0564/1118.

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One of the well-known results of the theory of management is the fact, that multi-stage hierarchical organization of management is unstable. Hence, the ideas expressed in a number of works by Don Tapscott on advantages of network organization of businesses over vertically integrated ones is clear. While studying the basic tendencies of business organization in the conditions of globalization, computerization and internetization of the society and the results of the financial activities of the well-known companies, the authors arrive at the conclusion, that such companies, as IBM, Boeing, Mercedes-Benz and some others companies have not been engaged in their traditional business for a long time. Their partner networks performs this function instead of them. The companies themselves perform the function of system integrators. The Tapscott’s idea finds its confirmation within the framework of a new powerful direction of the development of the modern interdisciplinary science – the theory of the complex networks (CN) [2]. CN-s are multifractal objects, the loss of multifractality being the indicator of the system transition from more complex state into more simple state. We tested the multifractal properties of the data using the wavelet transform modulus maxima approach in order to analyze scaling properties of our company. Comparative analysis of the singularity spectrumf(®), namely, the difference between maximum and minimum values of ® (∆ = ®max ¡ ®min) shows that IBM company is considerably more fractal in comparison with Apple Computer. Really, for it the value of ∆ is equal to 0.3, while for the vertically integrated company Apple it only makes 0.06 – 5 times less. The comparison of other companies shows that this dependence is of general character. Taking into consideration the fact that network organization of business has become dominant in the last 5-10 years, we carried out research for the selected companies in the earliest possible period of time which was determined by the availability of data in the Internet, or by historically later beginning of stock trade of computer companies. A singularity spectrum of the first group of companies turned out to be considerably narrower, or shifted toward the smaller values of ® in the pre-network period. The latter means that dynamic series were antipersistant. That is, these companies‘ management was rigidly controlled while the impact of market mechanisms was minimized. In the second group of companies if even the situation did changed it did not change for the better. In addition, we discuss applications to the construction of portfolios of stock that have a stable ratio of risk to return.
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Haller, George. Control of Unsteady Separation: A Dynamical Systems Approach. Fort Belvoir, VA: Defense Technical Information Center, January 2005. http://dx.doi.org/10.21236/ada444310.

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Haller, George. Control of Unsteady Separation: A Dynamical Systems Approach. Fort Belvoir, VA: Defense Technical Information Center, December 2005. http://dx.doi.org/10.21236/ada452363.

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Ananth, Nandini. Quantum Dynamical Behaviour in Complex Systems - A Semiclassical Approach. Office of Scientific and Technical Information (OSTI), January 2008. http://dx.doi.org/10.2172/936732.

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