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Journal articles on the topic 'Dynamic systems approach'

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Published: 4 June 2021

Last updated: 20 February 2023

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1

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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2

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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3

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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4

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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5

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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6

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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7

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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8

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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9

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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10

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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11

Schiepek, Günter. "A Dynamic Systems Approach to Clinical Case Formulation." European Journal of Psychological Assessment 19, no. 3 (September 2003): 175–84. http://dx.doi.org/10.1027//1015-5759.19.3.175.

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Summary: This contribution is based on the evidence that most psychological practitioners are concerned with the facilitation of change processes. They help people to learn, to develop, or to change patterns of cognitions, emotions, and behaviors. Consequently, they need assessment tools that enable them to represent the essential features of the complex systems they are concerned with, i.e., structure of functioning and dynamics. After some introductory remarks on systemic assessment, we focus on two methods of comprehensive data representation: one of them is used in order to represent the structure of functioning of a system, the other to assess its dynamics. The first one is called “idiographic system modeling” and represents the interrelations between the most important variables of a system by graphical means. The other one is based on a continuously produced flow of data about the functioning of a system and on a continuous screening of dynamic features of this time series (critical fluctuations, degree of synchronization, and stability vs. instability). It is called “real-time monitoring.” Perhaps this methodology can help to bridge the gap between research, usually realized in artificial laboratory settings, and the change processes taking place in practice.

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12

Holt, Kenneth G., Robert O. Wagenaar, and Elliot Saltzman. "A Dynamic Systems: constraints approach to rehabilitation." Brazilian Journal of Physical Therapy 14, no. 6 (December 2010): 446–63. http://dx.doi.org/10.1590/s1413-35552010000600002.

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13

Benedek, Gyöorgy. "A Dynamic Systems Approach to Development: Applications." Journal of Cognitive Neuroscience 6, no. 4 (July 1994): 412. http://dx.doi.org/10.1162/jocn.1994.6.4.412.

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14

Hogue, David M., Robert J. Porter, and Emily A. Tobey. "Exploring declination utilizing a dynamic systems approach." Journal of the Acoustical Society of America 90, no. 4 (October 1991): 2346. http://dx.doi.org/10.1121/1.402191.

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15

SOHN, TAE-WON, and JULIUS SURKIS. "SYSTEMS APPROACH FOR CONSTRUCTING DYNAMIC MOTIVATION MODELS." Cybernetics and Systems 16, no. 2-3 (January 1985): 145–70. http://dx.doi.org/10.1080/01969728508927763.

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16

Patry, Gilles G. "Modeling of Dynamic Systems: An Innovative Approach." Journal of Computing in Civil Engineering 3, no. 2 (January 1989): 158–72. http://dx.doi.org/10.1061/(asce)0887-3801(1989)3:2(158).

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17

van der Maas, Han L. J. "A dynamic systems approach to development: Applications." Cognitive Development 10, no. 4 (October 1995): 621–42. http://dx.doi.org/10.1016/0885-2014(95)90029-2.

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18

Bagchi, Prabir K., and Barin N. Nag. "Dynamic Vehicle Scheduling: An Expert Systems Approach." International Journal of Physical Distribution & Logistics Management 21, no. 2 (February 1991): 10–18. http://dx.doi.org/10.1108/09600039110134805.

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19

Ng, Tsan-Sheng, and Shao-Wei Lam. "Dynamic maritime systems inquiry: The DIVER approach." Systems Engineering 14, no. 3 (September 29, 2010): 239–54. http://dx.doi.org/10.1002/sys.20175.

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20

KAWAKATSU, T., M. DOI, and R. HASEGAWA. "DYNAMIC DENSITY FUNCTIONAL APPROACH TO PHASE SEPARATION DYNAMICS OF POLYMER SYSTEMS." International Journal of Modern Physics C 10, no. 08 (December 1999): 1531–40. http://dx.doi.org/10.1142/s0129183199001315.

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Slow dynamics of complex domain structures in phase separating polymer systems is investigated with the use of the self-consistent field (SCF) dynamic density functional (DDF) technique where the free energy of the system is calculated using the path integral formalism of the polymer chain conformation. We apply this technique to micellization of block copolymers and to phase separation of polymer blends containing block copolymers as a compatibilizer. In order to study the late stage of the phase separation processes more efficiently, we adopt the so-called Ginzburg–Landau approach, where a phenomenological model free energy functional is used. Numerical results of this approach is quantitatively compared with the results of the SCF approach.

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21

Criddle, Keith R., and Arthur M. Havenner. "AN ENCOMPASSING APPROACH TO MODELING FISHERY DYNAMICS: MODELING DYNAMIC NONLINEAR SYSTEMS." Natural Resource Modeling 5, no. 1 (December 1991): 55–90. http://dx.doi.org/10.1111/j.1939-7445.1991.tb00231.x.

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22

Sosnowska, Joanna, Peter Kuppens, Filip De Fruyt, and Joeri Hofmans. "A dynamic systems approach to personality: The Personality Dynamics (PersDyn) model." Personality and Individual Differences 144 (July 2019): 11–18. http://dx.doi.org/10.1016/j.paid.2019.02.013.

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23

Morawski, Michał, and Antoni Zajączkowski. "Approach to the design of robust networked control systems." International Journal of Applied Mathematics and Computer Science 20, no. 4 (December 1, 2010): 689–98. http://dx.doi.org/10.2478/v10006-010-0052-0.

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Approach to the design of robust networked control systemsThe paper describes the application of the traffic engineering framework together with application layer procedures as mechanisms for the reduction of network latency lags. These mechanisms allow using standard and inexpensive hardware and software technologies typically applied for office networking as a means of realising networked control systems (NCSs) with high dynamic control plants, where a high dynamic control plant is the one that requires the sampling period several times shorter than communication lags induced by a network. The general discussion is illustrated by experimental results obtained in a laboratory NCS with the magnetic levitation system (MLS), which is an example of a structurally unstable plant of high dynamics.

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24

Yu, Qing, and I.-Ming Chen. "A General Approach to the Dynamics of Nonholonomic Mobile Manipulator Systems." Journal of Dynamic Systems, Measurement, and Control 124, no. 4 (December 1, 2002): 512–21. http://dx.doi.org/10.1115/1.1513178.

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This paper studies the dynamic modeling of a nonholonomic mobile manipulator that consists of a multi-degree of freedom serial manipulator and an autonomous wheeled mobile platform. The manipulator is rigidly mounted on the mobile platform, and the wheeled mobile platform moves on the ground subjected to nonholonomic constraints. Forward Recursive Formulation for the dynamics of multibody systems is employed to obtain the governing equation of the mobile manipulator system. The approach fully utilizes the existing equations of motion of the manipulator and that of the mobile platform. Furthermore, terms representing the dynamic interactions between the manipulator and the mobile platform can be observed. The resulting dynamic equation of the mobile manipulator has the minimum number of generalized coordinates and can be used for the purpose of dynamic simulation and control design, etc. The implementation issues of the model are discussed.

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25

Kremer, Martin, Paul Mathis, and Dirk Müller. "Moisture Recovery – A Dynamic Modelling Approach." E3S Web of Conferences 111 (2019): 01099. http://dx.doi.org/10.1051/e3sconf/201911101099.

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With rising insulation standards, the use of mechanical ventilation, especially in non-residential buildings, is becoming increasingly relevant. To ensure thermal comfort and avoid health problems for people in the room, cost- and energy-intensive humidification of the supply air is necessary. The use of moisture recovery systems can thus significantly reduce the energy consumption of ventilation systems. Despite this energy-saving potential, moisture recovery systems are rarely used in ventilation systems. To forecast the efficiency of moisture recovery systems in partial load operation and under different climatic conditions, a dynamic model of a membrane-based enthalpy exchanger was developed in the object-oriented modelling language Modelica. The model is based on the solution diffusion model, a quite common approach. In contrast to the models found in the literature, the sorption process is not assumed to be in equilibrium state. Rather, as a first approach the membrane’s permeance, consisting of the solubility and diffusion coefficient, is modelled with a linear dependency on the moisture difference between the two incoming airflows. A parameter fitting has been carried out with experimental data to determine the unknown material parameters. The model containing the fitted parameter set was validated using different experimental data.

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26

Hajiyev, Chingiz, and Ali Okatan. "Innovation approach to detect the faults in multidimensional dynamic systems." Kybernetes 39, no. 1 (March 16, 2010): 127–39. http://dx.doi.org/10.1108/03684921011021318.

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PurposeThe purpose of this paper is to design the fault detection algorithm for multidimensional dynamic systems using a new approach for checking the statistical characteristics of Kalman filter innovation sequence.Design/methodology/approachThe proposed approach is based on given statistics for the mathematical expectation of the spectral norm of the normalized innovation matrix of the Kalman filter.FindingsThe longitudinal dynamics of an aircraft as an example is considered, and detection of various sensor faults affecting the mean and variance of the innovation sequence is examined.Research limitations/implicationsA real‐time detection of sensor faults affecting the mean and variance of the innovation sequence, applied to the linearized aircraft longitudinal dynamics, is examined. The non‐linear longitudinal dynamics model of an aircraft is linearized. Faults affecting the covariances of the innovation sequence are not considered in the paper.Originality/valueThe proposed approach permits simultaneous real‐time checking of the expected value and the variance of the innovation sequence and does not need a priori information about statistical characteristics of this sequence in the failure case.

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27

Mayar, Khalilullah, David G. Carmichael, and Xuesong Shen. "Stability and Resilience—A Systematic Approach." Buildings 12, no. 8 (August 15, 2022): 1242. http://dx.doi.org/10.3390/buildings12081242.

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Stability and resilience are two crucial concepts to the proper functioning and understanding of the behavior of both natural and man-made systems exposed to perturbations and change. However, although the two have covered a similar territory within dynamic systems, the terminology and applications differ significantly. This paper presents a critical analysis of the two concepts by first collating the wealth of modern stability concept literature within dynamics systems and then linking it to resilience thinking, defined as adaptation where the system has the ability to respond perturbations and change through passive and active feedback structures. A lumped mass and simple pendulum, two simple linear and nonlinear dynamic systems following a state-space approach from modern control systems theory, are used to support the analysis and application. The research findings reveal that the two overarching categories of engineering resilience and socio-ecological resilience (extended ecological resilience) are in fact a reinvention of a closed-loop system dynamic stability with different types of active feedback mechanisms. Additionally, structural stability describes some vital aspects of social–ecological resilience such as critical thresholds where, under change, a system loses the ability to return to the starting form or move to another suitable form through active feedback mechanisms or direct management actions.

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He, Y., H. Elmaraghy, and W. Elmaraghy. "A Design Analysis Approach for Improving the Stability of Dynamic Systems with Application to the Design of Car-Trailer Systems." Journal of Vibration and Control 11, no. 12 (December 2005): 1487–509. http://dx.doi.org/10.1177/1077546305060832.

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A design analysis approach is developed for improving the stability of dynamic systems subject to non-conservative forces. It combines genetic algorithms, sequential quadratic programming (SQP), and dynamic mode tracking (DMT). The proposed approach automatically optimizes the stability criterion and is applicable to rotor dynamics, wind turbine dynamics, aeronautics, and ground vehicle dynamics. The Routh-Hurwitz criterion has traditionally been used for determining the stability characteristics of these dynamic systems. In the conventional trial and error approaches, designers iteratively change the values of the design variables and reanalyze until an acceptable stability characteristic is achieved. This is both time-consuming and tedious. The proposed approach automates the design/analysis cycle by using the DMT technique to identify the modes; then, the SQP algorithm determines the stability criterion; and finally a genetic algorithm is applied to optimize design variables. The proposed integrated approach has been tested and evaluated numerically using a linearized car-trailer model with three degrees of freedom and the results demonstrate its feasibility and efficacy. The performed parametric sensitivity analysis revealed that the geometric parameters have a much greater influence on the lateral stability of the vehicle systems, compared with inertia parameters and torsional spring stiffness coefficients.

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29

Chiariotti, Federico, Chiara Pielli, Andrea Zanella, and Michele Zorzi. "A Dynamic Approach to Rebalancing Bike-Sharing Systems." Sensors 18, no. 2 (February 8, 2018): 512. http://dx.doi.org/10.3390/s18020512.

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30

Shang, Y. H., K. Uldall Kristiansen, and P. L. Palmer. "Dynamic Systems Approach to the Lander Descent Problem." Journal of Guidance, Control, and Dynamics 34, no. 3 (May 2011): 911–15. http://dx.doi.org/10.2514/1.52964.

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31

Kim, Ki-Ook, Jin Yeon Cho, and Young-Jae Choi. "Direct Approach in Inverse Problems for Dynamic Systems." AIAA Journal 42, no. 8 (August 2004): 1698–704. http://dx.doi.org/10.2514/1.941.

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32

Knudsen, M. H. "Experimental Modeling of Dynamic Systems: An Educational Approach." IEEE Transactions on Education 49, no. 1 (February 2006): 29–38. http://dx.doi.org/10.1109/te.2005.853071.

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33

Shaw, I. S., and J. J. Krüer. "New approach to fuzzy learning in dynamic systems." Electronics Letters 25, no. 12 (1989): 796. http://dx.doi.org/10.1049/el:19890537.

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34

Lee, S. M., D. H. Ji, Ju H. Park, and S. C. Won. "synchronization of chaotic systems via dynamic feedback approach." Physics Letters A 372, no. 29 (July 2008): 4905–12. http://dx.doi.org/10.1016/j.physleta.2008.05.047.

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35

Kunnen, E. Saskia, and Harke A. Bosma. "Development of meaning making: A dynamic systems approach." New Ideas in Psychology 18, no. 1 (April 2000): 57–82. http://dx.doi.org/10.1016/s0732-118x(99)00037-9.

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36

Ding, Shuiting, Tian Qiu, Xiaofeng Liu, and Shuguang Zhang. "Dynamic Coupled Systems FHA: A Simulation-aided Approach." Procedia Engineering 80 (2014): 479–93. http://dx.doi.org/10.1016/j.proeng.2014.09.106.

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37

Chen, Chang-Kuo, Tsung-Wen Lai, Jun-Juh Yan, and Teh-Lu Liao. "Synchronization of two chaotic systems: Dynamic compensator approach." Chaos, Solitons & Fractals 39, no. 3 (February 2009): 1055–63. http://dx.doi.org/10.1016/j.chaos.2007.04.004.

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38

Woszczyna, Andrzej. "Gauge-invariant cosmic structures—A dynamic systems approach." Physical Review D 45, no. 6 (March 15, 1992): 1982–88. http://dx.doi.org/10.1103/physrevd.45.1982.

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39

Carvalho, P. M. S., L. A. F. M. Ferreira, and L. M. F. Barruncho. "Optimization approach to dynamic restoration of distribution systems." International Journal of Electrical Power & Energy Systems 29, no. 3 (March 2007): 222–29. http://dx.doi.org/10.1016/j.ijepes.2006.07.004.

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40

Azizsafaei, Maryam, Amin Hosseinian-Far, Rasoul Khandan, Dilshad Sarwar, and Alireza Daneshkhah. "Assessing Risks in Dairy Supply Chain Systems: A System Dynamics Approach." Systems 10, no. 4 (August 4, 2022): 114. http://dx.doi.org/10.3390/systems10040114.

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Due to the dynamic nature of the food supply chain system, food supply management could suffer because of, and be interrupted by, unforeseen events. Considering the perishable nature of fresh food products and their short life cycle, fresh food companies feel immense pressure to adopt an efficient and proactive risk management system. The risk management aspects within the food supply chains have been addressed in several studies. However, only a few studies focus on the complex interactions between the various types of risks impacting food supply chain functionality and dynamic feedback effects, which can generate a reliable risk management system. This paper strives to contribute to this evident research gap by adopting a system dynamics modelling approach to generate a systemic risk management model. The system dynamics model serves as the basis for the simulation of risk index values and can be explored in future work to further analyse the dynamic risk’s effect on the food supply chain system’s behaviour. According to a literature review of published research from 2017 to 2021, nine different risks across the food supply chain were identified as a subsection of the major risk categories: macro-level and operational risks. Following this stage, two of the risk groups identified first were integrated with a developed system dynamics model to conduct this research and to evaluate the interaction between the risks and the functionality of the three main dairy supply chain processes: production, logistics, and retailing. The key findings drawn from this paper can be beneficial for enhancing managerial discernment regarding the critical role of system dynamics models for analysing various types of risks across the food supply chain process and improving its efficiency.

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Lapin, Eduard S., and Marat I. Abdrakhmanov. "Functional approach to deterministic finite-state automata systems dynamic modeling." Izvestiya vysshikh uchebnykh zavedenii. Gornyi zhurnal 1 (March 30, 2021): 113–22. http://dx.doi.org/10.21440/0536-1028-2021-2-113-122.

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Research aim is to study the functional approach to modeling the deterministic finite-state automata system which is not confined to the elements communication topology and the heterogeneity of the algorithm types. Relevance. The substantial part of engineering systems applied in the mining industry may be described through the finite-state automaton model. They include the mine conveyor systems, shaft signal systems, processing facilities control systems, etc. Such model makes it possible to shorten the time spent on control software development and carry out algorithm analysis, debug, and testing effectively. There are a lot of effective approaches and tools to solve the problem of finite-state automata dynamic modeling, each of which has its own advantages and disadvantages. Methodology. In this article, the methodology of finite-state automata systems modeling is considered as applied to mine conveyor systems. Results. Final-state automata (FSA) models have been developed together with the conditions for FSA systems dynamic modeling as applied to mine conveyor systems. Conclusions. The considered approach to modeling, which involves functors and applicative functors 122 "Izvestiya vysshikh uchebnykh zavedenii. Gornyi zhurnal". No. 2. 2021 ISSN 0536-1028 for structure composition and its operational dynamics study, as well as the possibility to mathematically prove the model’s properties, makes the approach a good alternative when choosing tools for systems models development.

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Bellazzi, Riccardo, Paolo Magni, and Giuseppe De Nicolao. "Dynamic Probabilistic Networks for Modelling and Identifying Dynamic Systems: A MCMC Approach☆." Intelligent Data Analysis 1, no. 4 (October 1, 1997): 245–62. http://dx.doi.org/10.3233/ida-1997-1403.

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43

Sang Chan Park, N. Raman, and M. J. Shaw. "Adaptive scheduling in dynamic flexible manufacturing systems: a dynamic rule selection approach." IEEE Transactions on Robotics and Automation 13, no. 4 (1997): 486–502. http://dx.doi.org/10.1109/70.611301.

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Cabrera, Alberto, Alejandro Acosta, Francisco Almeida, and Vicente Blanco. "A Dynamic Multi–Objective Approach for Dynamic Load Balancing in Heterogeneous Systems." IEEE Transactions on Parallel and Distributed Systems 31, no. 10 (October 1, 2020): 2421–34. http://dx.doi.org/10.1109/tpds.2020.2989869.

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45

BELLAZZI, R., P. MAGNI, and G. DENICOLAO. "Dynamic probabilistic networks for modelling and identifying dynamic systems: a MCMC approach." Intelligent Data Analysis 1, no. 1-4 (1997): 245–62. http://dx.doi.org/10.1016/s1088-467x(97)00011-5.

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46

ÖZER, E., J. H. WELLS, K. W. McMILLIN, C. P. HO, and N. Y. HUANG. "DYNAMIC GAIN MATRIX APPROACH TO MODELING OF DYNAMIC MODIFIED ATMOSPHERE PACKAGING SYSTEMS." Journal of Food Process Engineering 20, no. 3 (July 1997): 231–48. http://dx.doi.org/10.1111/j.1745-4530.1997.tb00420.x.

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47

Rao M., Srinivasa, and V. N. A. Naikan. "Availability modeling of repairable systems using Markov system dynamics simulation." International Journal of Quality & Reliability Management 32, no. 5 (May 5, 2015): 517–31. http://dx.doi.org/10.1108/ijqrm-11-2013-0184.

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Purpose – The purpose of this paper is to propose a novel hybrid approach called as Markov System Dynamics (MSD) approach which combines the Markov approach with system dynamics (SD) simulation approach for availability modeling and to study the dynamic behavior of repairable systems. Design/methodology/approach – In the proposed approach the identification of the single unit repairable system all possible states has been performed by using the Markov approach. The remaining stages of traditional Markov analysis are highly mathematically intensive. The present work proposes a hybrid approach called as MSD approach which combines the Markov approach with SD simulation approach to overcome some of the limitations of Markov process in a simple and efficient way for availability modeling and to study the dynamic behavior of this system. Findings – The proposed framework is illustrated for a single unit repairable system. The worked out example shows the steady state point and also it gives the point, interval and steady state availabilities and also the dynamic behavior of the system. However this methodology can be extended easily for more complex multi-state maintainable systems. The results of the simulation when compared with that obtained by traditional Markov analysis clearly validate the proposed approach as an alternative approach for availability modeling of repairable systems. Practical implications – In many practical situations we require to find the time at which our system reaches steady state conditions for planning maintenance activities. The proposed MSD method in this paper is capable of finding this steady state point very easily. Originality/value – The proposed approach clearly indicates the time at which the system reaches its steady state and calculates the point, interval availabilities for planning maintenance activities. The different parties, i.e., engineers and machine operators, can jointly work with this model in order to understand the dynamic behavior of repairable systems.

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48

Sosnowska, Joanna, Peter Kuppens, Filip De Fruyt, and Joeri Hofmans. "New Directions in the Conceptualization and Assessment of Personality—A Dynamic Systems Approach." European Journal of Personality 34, no. 6 (December 2020): 988–98. http://dx.doi.org/10.1002/per.2233.

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In this paper, we demonstrate how an integrative approach to personality—one that combines within–person and between–person differences—can be achieved by drawing on the principles of dynamic systems theory. The dynamic systems perspective has the potential to reconcile both the stable and dynamic aspect of personality, it allows including different levels of analysis (i.e. traits and states), and it can account for regulatory mechanisms, as well as dynamic interactions between the elements of the system, and changes over time. While all of these features are obviously appealing, implementing a dynamic systems approach to personality is challenging. It requires new conceptual models, specific longitudinal research designs, and complex data analytical methods. In response to these issues, the first part of our paper discusses the Personality Dynamics model, a model that integrates the dynamic systems principles in a relatively straightforward way. Second, we review associated methodological and statistical tools that allow empirically testing the PersDyn model. Finally, the model and associated methodological and statistical tools are illustrated using an experience sampling methodology data set measuring Big Five personality states in 59 participants ( N = 1916 repeated measurements). © 2020 The Authors. European Journal of Personality published by John Wiley & Sons Ltd on behalf of European Association of Personality Psychology

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Krokavec, Dušan, Anna Filasová, and Vladimír Serbák. "FTC with Dynamic Virtual Actuators: Characterization via Dynamic Output Controllers andH∞Approach." Mathematical Problems in Engineering 2015 (2015): 1–16. http://dx.doi.org/10.1155/2015/259056.

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The paper presents new conditions, adequate in design of dynamic virtual actuators and utilizable in fault-tolerant control structures (FTC) for continuous-time linear systems, which are stabilizable by dynamic output controllers. Taking into account disturbance conditions and changes of variables in FTC after virtual actuator activation and applying the nominal control scheme relating to the biproper dynamic output controller of prescribed order, the design conditions are outlined in terms of the linear matrix inequalities within the enhanced bounded real lemma forms. Using a free tuning parameter in design, and with suitable choice of the controller order, the approach provides the way to obtain acceptable dynamics of the closed-loop system after activation of the dynamic virtual actuator.

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Baggio, Rodolfo. "Complex tourism systems: a visibility graph approach." Kybernetes 43, no. 3/4 (April 1, 2014): 445–61. http://dx.doi.org/10.1108/k-12-2013-0266.

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Purpose – The social responsibility of a tourism destination results from the combined efforts of the single stakeholders. This needs coordination and harmonization that cannot be achieved without a deep understanding of the structural and dynamic characteristics of the destination. A tourism destination is a complex dynamic system and requires specific methods to be analyzed and understood in order to better tailor governance actions for steering it along an evolutionary growth path, respectful of the social responsibility towards the community. Many methodological recommendations exist that allow to assess these features, and some have been successfully applied to tourism destinations. This paper aims to explore a new proposal: the visibility graph algorithm (VGA), which is able to provide the required level of information in a fast and simple way. Design/methodology/approach – VGA is a technique to map a time series into a network. The method and its implementation are relatively simple and straightforward. The mapping allows examining the system's properties by using network analytic methods. An example is worked out using data from two destinations: Italy as a country and the island of Elba, one of its most popular areas. Findings – The complexity properties of the two destinations are examined and found in agreement with those obtained by using more complicated approaches, thus strengthening the reliability of the method. Originality/value – This paper provides a new method to examine a tourism destination using a readily available set of data and a simple algorithm. The contribution of this work is mainly methodological. The technique provides insights into the complex structure and dynamics of a tourism destination. This has important implications for those interested in enriching the toolsets used to study a destination from a complex system perspective.

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