Relevant bibliographies by topics / System dynamics

Academic literature on the topic 'System dynamics'

Author: Grafiati
Published: 4 June 2021
Last updated: 8 June 2024

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Journal articles on the topic "System dynamics"

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Ma, Zheng-Dong, and Ichiro Hagiwara. "Recent Advance in Multibody System Dynamics." Reference Collection of Annual Meeting 2004.8 (2004): 372–73. http://dx.doi.org/10.1299/jsmemecjsm.2004.8.0_372.

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f, f. "Designing for Dynamics in Dynamic Narrative Inquiry." Asian Qualitative Inquiry Association 2, no. 2 (December 31, 2023): 77–94. http://dx.doi.org/10.56428/aqij.2023.2.2.77.

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This article addresses the question “How is dynamic narrative inquiry dynamic?” To do that, I present principles of dynamic narrative inquiry, with a focus on the active authoring of meaning in research interactions as in everyday life. Drawing on prior examples of activity-meaning system research designs and dynamic narrative analyses, I illustrate how this authoring process involves creative use of language and literary forms to express and transform interactive meaning with diverse others and one’s self. A goal of the article is to increase researchers’ sensitivity to the fact that paying attention to how everyone communicates offers major and otherwise overlooked insights into what everyone is saying about the issue of interest.
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Cho, J. I., J. Y. Kim, and T. W. Park. "62931 DYNAMIC ANALYSIS ON THE NEXT GENERATION HIGH-SPEED RAILWAY VEHICLE(Railroad System Dynamics)." Proceedings of the Asian Conference on Multibody Dynamics 2010.5 (2010): _62931–1_—_62931–6_. http://dx.doi.org/10.1299/jsmeacmd.2010.5._62931-1_.

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Dinc, O. S., R. Cromer, and S. J. Calabrese. "Redesigning Mechanical Systems for Low Wear Using System Dynamics Modeling." Journal of Tribology 118, no. 2 (April 1, 1996): 415–22. http://dx.doi.org/10.1115/1.2831318.

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This work describes a method of minimizing wear and extending the life of machinery components and large, complex machine structures by controlling the overall system dynamics. The method consists of the following steps: first, developing a system dynamics model for the entire machine structure using available rigid multi-body dynamic analysis computer codes; second, obtaining dynamic performance data from the system dynamics model for each sliding contact in the actual machine, and feeding this information into a suitable wear model which is either being used or developed for the particular material combination; third, matching the results of the wear prediction with actual machine wear inspection data; and last and most important, returning to the dynamic analysis model and modifying or redesigning the machine to minimize the intensity of the system dynamics, thus extending the wear life of the components. The method is being developed for application to large, complex machines which have numerous sliding contacts. Many of these contacts are at junctions between subcomponents assembled together. These junctions are often designed to accommodate relative motion due to vibration or thermal mismatches. After the initial analyses have been done, both minor and major mechanical design and material changes must be investigated to determine how effectively these could reduce wear. Each successive configuration can be evaluated using the dynamic analysis model. Application of this approach to the mechanical design of a gas turbine combustor reduced the noise level of the entire system and tripled the average machine life.
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Agne, Sören. "System-Dynamics." Controlling 25, no. 4-5 (2013): 269–70. http://dx.doi.org/10.15358/0935-0381_2013_4-5_269.

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SATOH, Keita, Ryotaro OHKAWA, Hironori A. FUJII, Kenji UCHIYAMA, and Kazuhiro IIJIMA. "63695 STUDY ON FUNDAMENTAL DYNAMICS OF VERY LONG TETHER SYSTEM(Aerospace Dynamics)." Proceedings of the Asian Conference on Multibody Dynamics 2010.5 (2010): _63695–1_—_63695–7_. http://dx.doi.org/10.1299/jsmeacmd.2010.5._63695-1_.

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Sorokin, A. B., L. M. Zheleznyak, D. V. Suprunenko, and V. V. Kholmogorov. "Designing modules of system dynamics in decision support systems." Russian Technological Journal 10, no. 4 (July 29, 2022): 18–26. http://dx.doi.org/10.32362/2500-316x-2022-10-4-18-26.

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Objectives. When creating models of system dynamics, the basic construct at the design stage is the representation of the process under study in terms of a causal relationship consisting of a positive feedback loop and a negative feedback loop. The construction of a model of a dynamic environment can experience a number of difficulties in using feedback. This work shows the possibility of designing modules of system dynamics for decision-making systems based on the situational-activity approach. The study proposes the gap in knowledge about models of system dynamics to be filled with a conceptual model of an act of activity, by means of which an expert system can be implemented based on production rules. In this context, conceptual models are applied to human reasoning with reference to certain types of activity. The objective of the study was to investigate the possibility of applying the situational-active approach to designing models of system dynamics of infectious diseases based on particular representations of the conceptual structure of the act of activity.Methods. By synthesizing Bolotova's situational algorithm and Shchedrovitskiy's system-activity approach, the conceptual structure of the act of activity is presented as a methodology of the situational-activity approach. The analysis of this structure leads to the construction of a plan of processual structure and a plan of analytical relationships. The article proposed a hypothesis that the process representations describe the notation of flows and levels, and the analytical relationships implement differential equations. In order to prove this hypothesis, the subject area of infectious diseases was investigated.Results. Based on the set of these plans, a graphic image was synthesized for constructing models of system dynamics, which is identical to the diagram of flows and levels of development of the SIR process. However, the problem of constructing conceptual structures is nontrivial, complex, and laborious. Therefore, the Designer-Solver-Interpreter software suite was implemented. The software tools enable a visualization of the conceptual structures and implementation of the knowledge bases for expert models of system dynamics. It also tests the completeness and viability of the model.Conclusions. To date, there is no single conceptual structure for designing expert systems and situational and simulation dynamic models. The proposed method and software tools allow these problems to be resolved using the situational-activity method. Various types of dynamics in expert systems interact, thus confirming the reliability of knowledge in the models of system dynamics. The conceptual structures of the act of activity are the core part of designing expert systems, while he derivative process and analytical representations of the act of activity are the core part of developing modules of system dynamics.
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Georgantzas, Nicholas C., and Evangelos G. Katsamakas. "Information systems research with system dynamics." System Dynamics Review 24, no. 3 (September 2008): 247–64. http://dx.doi.org/10.1002/sdr.420.

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Rodriguez-Ulloa, Ricardo, and Alberto Paucar-Caceres. "Soft System Dynamics Methodology (SSDM): Combining Soft Systems Methodology (SSM) and System Dynamics (SD)." Systemic Practice and Action Research 18, no. 3 (June 2005): 303–34. http://dx.doi.org/10.1007/s11213-005-4816-7.

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WOLSTENHOLME, ERIC F. "System enquiry using system dynamics." International Journal of Systems Science 17, no. 1 (January 1986): 111–20. http://dx.doi.org/10.1080/00207728608926787.

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Dissertations / Theses on the topic "System dynamics"

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Layton, Richard A. "Analytical system dynamics /." Thesis, Connect to this title online; UW restricted, 1995. http://hdl.handle.net/1773/7131.

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Ligterink, Norbert Emiel. "Functional system dynamics." Enschede : University of Twente [Host], 2007. http://doc.utwente.nl/57922.

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Demiray, Turhan Hilmi. "Simulation of power system dynamics using dynamic phasor models /." Zürich : ETH, 2008. http://e-collection.ethbib.ethz.ch/show?type=diss&nr=17607.

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Xue, Wenbo. "System dynamics based traffic system modelling." Thesis, Brunel University, 2005. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.422213.

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Trimble, John. "Knowledge acquisition and the system dynamics methodology." Diss., Georgia Institute of Technology, 1992. http://hdl.handle.net/1853/23337.

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Pfaender, Jens Holger. "Competitive Assessment of Aerospace Systems using System Dynamics." Diss., Georgia Institute of Technology, 2006. http://hdl.handle.net/1853/14014.

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Aircraft design has recently experienced a trend away from performance centric design towards a more balanced approach with increased emphasis on engineering an economically successful system. This approach focuses on bringing forward a comprehensive economic and life-cycle cost analysis, which can be addressed by the introduction of a dynamic method allowing the analysis of the future attractiveness of such a concept in the presence of uncertainty. One way of addressing this is through the use of a competitive market model. However, existing market models do not focus on the dynamics of the market, which results in poor predictive capabilities. The method proposed here focuses on a top-down approach that integrates a competitive model based on work in the field of system dynamics into the aircraft design process. The primary contribution is the demonstration of the feasibility of such integration. This integration is achieved through the use of surrogate models, which enabled not only the practical integration of analysis techniques, but also reduced the computational requirements so that interactive exploration as envisioned is actually possible. An example demonstration of this integration is built on the competition in the 250 seat large commercial aircraft market. Two aircraft models were calibrated to existing performance and certification data and then integrated into the system dynamics market model, which was then calibrated with historical market data. This calibration showed a much improved predictive capability as compared to the conventional logit regression models. The resulting market model was then integrated into a prediction profiler environment with a time variant Monte-Carlo analysis resulting in a unique trade-off environment. This environment was shown to allow interactive trade-off between aircraft design decisions and economic considerations while allowing the exploration potential market success in the light of varying external market conditions and scenarios. Another use of the existing outputs of the Monte-Carlo analysis was then realized by visualizing the model variables on a multivariate scatter plot. This enables the designer to define strategic market and return on investment goals for a number of scenarios and then directly see which specific aircraft designs meet these goals.
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Monga, Pavinder. "A System Dynamics Model of the Development of New Technologies for Ship Systems." Thesis, Virginia Tech, 2001. http://hdl.handle.net/10919/35258.

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System Dynamics has been applied to various fields in the natural and social sciences. There still remain countless problems and issues where understanding is lacking and the dominant theories are event-oriented rather than dynamic in nature. One such research area is the application of the traditional systems engineering process in new technology development. The Navy has been experiencing large cost overruns in projects dealing with the implementation of new technologies on complex ship systems. We believe that there is a lack of understanding of the dynamic nature of the technology development process undertaken by aircraft-carrier builders and planners. Our research effort is to better understand the dynamics prevalent in the new technology development process and we use a dynamic modeling technique, namely, System Dynamics in our study.

We provide a comprehensive knowledge elicitation process in which members from the Newport News Shipbuilding, the Naval Sea Command Cost Estimating Group, and the Virginia Tech System Performance Laboratory take part in a group model building exercise. We build a System Dynamics model based on the information and data obtained from the experts. Our investigation of the dynamics yields two dominant behaviors that characterize the technology development process. These two dynamic behaviors are damped oscillation and goal seeking. Furthermore, we propose and investigate four dynamic hypotheses in the system. For the current structure of the model, we see that an increase in the complexity of new technologies leads to an increase in the total costs, whereas a increase in the technology maturity leads to a decrease in the total costs in the technology development process. Another interesting insight is that an increase in training leads to a decrease in total costs.
Master of Science

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Herron, Daniel James. "Quantifying lake system dynamics." Thesis, University College London (University of London), 2002. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.252363.

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FIORANI, GLORIA. "System thinking, system dynamics e politiche pubbliche." Doctoral thesis, Università degli Studi di Roma "Tor Vergata", 2009. http://hdl.handle.net/2108/869.

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Il presente lavoro analizza la possibilità di utilizzo e il livello diffusione delle metodologie System Thinking e System Dynamics nella formulazione e valutazione delle politiche pubbliche (Capitoli 1 e 2) e presenta due applicazioni concrete e innovative in ambito sanitario - valutazione di impatto delle misure contenute nei piani di rientro dal debito regionali (Capitolo 3) e delle politiche di centralizzazione degli acquisti (Capitolo 4) - e una in ambito culturale – valutazione di impatto di politiche pubbliche alternative di finanziamento alla manifestazione culturale “La Notte Bianca Romana” (Capitolo 5).
This work analyzes the potential use and the spread of System Thinking and System Dynamics methodologies in public policy formulation and evaluation (Chapters 1 and 2). There are two practical and innovative applications in health - impact assessment of the recent sanitarian regional policies directed to solve the structural debt (Chapter 3) and of the centralization of purchase regional policies (Chapter 4) - and one in culture - impact assessment of alternative public policies for funding the cultural event "La Notte Bianca Romana" (Chapter 5).
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Damle, Pushkar Hari. "A system dynamics model of the integration of new technologies for ship systems." Thesis, Virginia Tech, 2003. http://hdl.handle.net/10919/35216.

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System dynamics has been used to better understand the dynamics within complex natural and social systems. This understanding enables us to make decisions and define strategies that help to resolve the problematic behaviors associated within these systems. For example within an operating environment such as the US Navy, decisions taken today can have long lasting impact on system performance. The Navy has experienced large cost overruns during the new technology implementation process on ship systems that can also have an impact on total life cycle performance. The integration phase of the implementation process represents most of the cost overruns experienced in the overall new technology life cycle (development, integration, and operation/support/disposal). We have observed a general concern that there is a lack of understanding for the dynamic behavior of those processes which comprise the integration phase, among ship-builders and planners. One of the goals of our research effort has been to better understand the dynamic behavior of the new technology integration processes, using a dynamic modeling technique known as System Dynamics. Our approach has also been to provide a comprehensive knowledge elicitation process in which members from the shipbuilding industry, the US Navy, and the Virginia Tech System Performance Laboratory take part in group model building exercises. The system dynamics model that is developed in this manner is based on data obtained from the experts. An investigation of these dynamics yields a dominant cost behavior that characterizes the technology integration processes. This behavior is S-shaped growth. The following two dynamic hypotheses relative to lifecycle cost and performance of the inserted new technology were confirmed: (1) For the current structure of the model we observe the more the complexity of the new technology, the less affordable a technology becomes; (2) Integration of immature (less developed) technologies is associated with higher costs. Another interesting insight is that cost is very sensitive to the material procurement. Future research can be addressed to a more detailed level of abstraction for various activities included in the technology integration phase, such as testing and evaluation, cost of rework and risks associated with inadequate testing etc. This will add to our evolving understanding of the behavior of individual activities in the technology integration process.
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Books on the topic "System dynamics"

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Kunc, Martin, ed. System Dynamics. London: Palgrave Macmillan UK, 2018. http://dx.doi.org/10.1057/978-1-349-95257-1.

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Karnopp, Dean C., Donald L. Margolis, and Ronald C. Rosenberg. System Dynamics. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2012. http://dx.doi.org/10.1002/9781118152812.

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Seeler, Karl A. System Dynamics. New York, NY: Springer New York, 2014. http://dx.doi.org/10.1007/978-1-4614-9152-1.

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Bala, Bilash Kanti, Fatimah Mohamed Arshad, and Kusairi Mohd Noh. System Dynamics. Singapore: Springer Singapore, 2017. http://dx.doi.org/10.1007/978-981-10-2045-2.

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Palm, William J. System dynamics. Boston: McGraw-Hill Higher Education, 2005.

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Palm, William J. System dynamics. 2nd ed. Dubuque, IA: McGraw-Hill, 2010.

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System dynamics. 3rd ed. Upper Saddle River, N.J: Prentice Hall, 1998.

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System dynamics. 4th ed. Upper Saddle River, NJ: Pearson/Prentice Hall, 2004.

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Ogata, Katsuhiko. System dynamics. 2nd ed. Englewood Cliffs, N.J: Prentice-Hall, 1992.

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System dynamics. 3rd ed. Upper Saddle River, N.J: Prentice Hall, 1998.

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Book chapters on the topic "System dynamics"

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Barbrook-Johnson, Pete, and Alexandra S. Penn. "System Dynamics." In Systems Mapping, 113–28. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-01919-7_8.

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AbstractThis chapter introduces System Dynamics, a well-established method to developing full simulations of dynamic systems. We introduce the method and how it can be used to move from conceptual models to ‘stocks and flows’ models and simulations. We describe the steps involved in doing System Dynamics and consider common issues and tricks of the trade. We reflect on what the method is good and bad at and present a brief history of use and debates in the field. Finally, we give some advice on getting started yourself and point to some useful resources.
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Moriya, Kazuyuki. "System Dynamics." In Field Informatics, 73–88. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-29006-0_5.

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Whitaker, Elizabeth T. "System Dynamics." In Modeling and Simulation in the Systems Engineering Life Cycle, 157–65. London: Springer London, 2015. http://dx.doi.org/10.1007/978-1-4471-5634-5_13.

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Morecroft, John. "System Dynamics." In Systems Approaches to Making Change: A Practical Guide, 25–88. London: Springer London, 2020. http://dx.doi.org/10.1007/978-1-4471-7472-1_2.

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Burmester, Lars. "System Dynamics." In Adaptive Business-Intelligence-Systeme, 147–79. Wiesbaden: Vieweg+Teubner, 2011. http://dx.doi.org/10.1007/978-3-8348-8118-2_6.

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Richardson, George P. "System Dynamics." In Encyclopedia of Operations Research and Management Science, 1519–22. Boston, MA: Springer US, 2013. http://dx.doi.org/10.1007/978-1-4419-1153-7_1030.

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Cellier, François E. "System Dynamics." In Continuous System Modeling, 455–506. New York, NY: Springer New York, 1991. http://dx.doi.org/10.1007/978-1-4757-3922-0_11.

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Djaferis, Theodore E. "System Dynamics." In Robust Control Design: A Polynomial Approach, 15–33. Boston, MA: Springer US, 1995. http://dx.doi.org/10.1007/978-1-4615-2293-5_2.

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Morecroft, John. "System Dynamics." In Systems Approaches to Managing Change: A Practical Guide, 25–85. London: Springer London, 2010. http://dx.doi.org/10.1007/978-1-84882-809-4_2.

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Chevalier, Jacques M., and Daniel J. Buckles. "System Dynamics." In Participatory Action Research, 345–68. Second edition. | Abingdon, Oxon ; New York, NY : Routledge, 2019.: Routledge, 2019. http://dx.doi.org/10.4324/9781351033268-19.

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Conference papers on the topic "System dynamics"

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Shtripling, Lev O., and Vladislav V. Bazhenov. "Oil refining emission automated monitoring system." In 2014 Dynamics of Systems, Mechanisms and Machines (Dynamics). IEEE, 2014. http://dx.doi.org/10.1109/dynamics.2014.7005635.

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Kostyuchenko, Evgeny, Dariya Ignatieva, Roman Mescheryakov, Alexander Pyatkov, Evgeny Choynzonov, and Lidiya Balatskaya. "Model of system quality assessment pronouncing phonemes." In 2016 Dynamics of Systems, Mechanisms and Machines (Dynamics). IEEE, 2016. http://dx.doi.org/10.1109/dynamics.2016.7819016.

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Tatevosyan, Andrey A., and Aleksandr S. Tatevosyan. "Calculation of magnetic system of the magnetoelectric machines." In 2014 Dynamics of Systems, Mechanisms and Machines (Dynamics). IEEE, 2014. http://dx.doi.org/10.1109/dynamics.2014.7005698.

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Belim, S. V., D. M. Brechka, T. A. Gorbunova, I. V. Schmidt, and I. B. Larionov. "Data mining based on an archaeological geoinformation system ArGIS." In 2016 Dynamics of Systems, Mechanisms and Machines (Dynamics). IEEE, 2016. http://dx.doi.org/10.1109/dynamics.2016.7818975.

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Salnikov, A. S., A. A. Kokolov, F. I. Scheyerman, R. Yu Musenov, I. M. Dobush, and L. I. Babak. "Integrated balun design for SiGe system-on-a-chip." In 2016 Dynamics of Systems, Mechanisms and Machines (Dynamics). IEEE, 2016. http://dx.doi.org/10.1109/dynamics.2016.7819077.

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Voytenkov, Sergey, and Evgeniy Vitvitskiy. "Management of urban freight transport system: State and prospects." In 2016 Dynamics of Systems, Mechanisms and Machines (Dynamics). IEEE, 2016. http://dx.doi.org/10.1109/dynamics.2016.7819107.

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Bubnov, Aleksey V., and Aleksandr M. Daynovich. "Digital automatic control system of phase-lock motor drive." In 2017 Dynamics of Systems, Mechanisms and Machines (Dynamics). IEEE, 2017. http://dx.doi.org/10.1109/dynamics.2017.8239439.

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Khatsevskiy, Konstantin V., Tatjana V. Gonenko, and Vladimir F. Khatsevskiy. "The Calculation of Induction Heating System with Coaxial Cylinders." In 2018 Dynamics of Systems, Mechanisms and Machines (Dynamics). IEEE, 2018. http://dx.doi.org/10.1109/dynamics.2018.8601496.

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Semakhin, Andrei M. "Network Simulation of Information System in Conditions Of Uncertainty." In 2018 Dynamics of Systems, Mechanisms and Machines (Dynamics). IEEE, 2018. http://dx.doi.org/10.1109/dynamics.2018.8601500.

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Epifantsev, B. N., and V. A. Komarov. "Adapting active control system to changes of detected signals shapes." In 2016 Dynamics of Systems, Mechanisms and Machines (Dynamics). IEEE, 2016. http://dx.doi.org/10.1109/dynamics.2016.7819002.

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Reports on the topic "System dynamics"

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Perdigão, Rui A. P., Julia Hall, and Kaya Schwemmlein. Polyadic Dynamic Nexus among Complex Socio-Environmental Systems: from Earth System Dynamics to Sustainable Development. Meteoceanics, August 2020. http://dx.doi.org/10.46337/200819.

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McDevitt, Michael E. System Dynamics Aviation Readiness Modeling Demonstration. Fort Belvoir, VA: Defense Technical Information Center, August 2005. http://dx.doi.org/10.21236/ada436605.

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Muralidaran, V. The dynamics of irrigation system performance. International Irrigation Management Institute (IIMI), 1993. http://dx.doi.org/10.5337/2013.026.

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Jianping, Yuan. Satellite Positioning System and Flight Dynamics,. Fort Belvoir, VA: Defense Technical Information Center, August 1995. http://dx.doi.org/10.21236/ada300160.

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Anderson, Ed, Nazli Choucri, Daniel Goldsmith, Stuart E. Madnick, Michael Siegel, and Dan Sturtevant. System Dynamics Modeling for Proactive Intelligence. Fort Belvoir, VA: Defense Technical Information Center, January 2010. http://dx.doi.org/10.21236/ada514594.

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Contreras, Ulysses, Guangbu Li, Ahmed A. Shabana, Paramsothy Jayakumar, Michael D. Letherwood, and Craig D. Foster. Soil Models and Vehicle System Dynamics. Fort Belvoir, VA: Defense Technical Information Center, May 2013. http://dx.doi.org/10.21236/ada578850.

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Arnold, J., T. Ambrosi, and W. Geer. Security Dynamics Access Control Encryption System. Fort Belvoir, VA: Defense Technical Information Center, March 1987. http://dx.doi.org/10.21236/ada221814.

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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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Red-Horse, J. R. Structural system identification: Structural dynamics model validation. Office of Scientific and Technical Information (OSTI), April 1997. http://dx.doi.org/10.2172/469145.

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Cai, Y., and S. S. Chen. Nonlinear dynamics of a stack/cable system. Office of Scientific and Technical Information (OSTI), July 1995. http://dx.doi.org/10.2172/115634.

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You might also be interested in the extended bibliographies on the topic 'System dynamics' for particular source types:
Journal articles Dissertations / Theses Books
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