Relevant bibliographies by topics / Modeling System Theory

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Modeling System Theory'

Author: Grafiati
Published: 11 March 2023
Last updated: 31 July 2025

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Journal articles on the topic "Modeling System Theory"

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Degterev, D., and I. Istomin. "System Modeling of International Relations." World Economy and International Relations 59, no. 11 (2015): 17–30. http://dx.doi.org/10.20542/0131-2227-2015-59-11-17-30.

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The article provides an overview of international and Russian literature on the genesis and development of System Research in IR studies, demonstrates the emergence of System Research in Russia and in the world, the development of the general theory of systems. It is shown that at the first stage, the representatives of natural sciences tried to identify the isomorphism between the international relations system and other systems (biological, physical). In this context, the attempts to form a general theory of international conflict could be viewed. It is noted that at the beginning of the 197
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Arney, Dale C., and Alan W. Wilhite. "Modeling Space System Architectures with Graph Theory." Journal of Spacecraft and Rockets 51, no. 5 (2014): 1413–29. http://dx.doi.org/10.2514/1.a32578.

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Godoy, Boris I., Victor Solo, and Syed Ahmed Pasha. "Truncated Hawkes point process modeling: System theory and system identification." Automatica 113 (March 2020): 108733. http://dx.doi.org/10.1016/j.automatica.2019.108733.

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ZVYAGIN, L. S. "DEVELOPMENT OF SYSTEM MODELING AND METHODS OF FORMALIZED REPRESENTATION OF SYSTEMS." EKONOMIKA I UPRAVLENIE: PROBLEMY, RESHENIYA 1, no. 9 (2020): 40–49. http://dx.doi.org/10.36871/ek.up.pr2020.09.01.005.

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Modern science constantly improves approaches and methods of formalization of certain regularities using the latest achievements in mathematics, computer science and other exact Sciences. The methodological basis for research and modeling of systems is often considered to be the theory and practice of mathematical modeling. In the classical system approach, as a rule, system modeling is based on the use of similarity theories and scientific experiment, as well as mathematical statistics, algorithm theory, and a number of other fundamental classical theories. However, focusing only on mathemati
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Shornikov, Yury, and Evgeny Popov. "Modeling and simulation of transients in electric power systems using hybrid system theory." ITM Web of Conferences 24 (2019): 02012. http://dx.doi.org/10.1051/itmconf/20192402012.

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Transients in electric power systems are of great interest to power engineers when designing a new or maintaining an existing system. The paper deals with using hybrid system theory for modeling and simulation of an electric power system with controllers. The presented technique is rather convenient and recommended as mathematical models of transients in electric power systems with controllers in general contain both continuous and discrete components. The modeling and simulation were carried out in the modeling and simulation environment ISMA, which is briefly presented in the paper.
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JIN, Ang, Jian-hui JIANG, Jun-gang LOU, and Rui ZHANG. "Software reliability modeling based on grey system theory." Journal of Computer Applications 29, no. 3 (2009): 690–94. http://dx.doi.org/10.3724/sp.j.1087.2009.00690.

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Sun, Zhi, and Shoujian Zhang. "Complex system modeling on establishment of construction standard system." Structural Survey 32, no. 1 (2014): 5–13. http://dx.doi.org/10.1108/ss-10-2012-0031.

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Purpose – The complexity of the construction standards affects the relevance between the system internal elements. Therefore, research on the systematic effect can make the construction activities get the optimum benefit. The purpose of this paper is to discuss these issues. Design/methodology/approach – The research reveals the complex adaptive characteristic of the standard system by using system science theory, analyzes the emergent property mechanism of construction standard system, and provides the mathematical form of the system. Findings – Finally, according to the complex characteristi
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Alter, Steven, and Dominik Bork. "Systems Analysis and Design Toolkit Based on Work System Theory and Its Extensions." Journal of Database Management 31, no. 3 (2020): 1–13. http://dx.doi.org/10.4018/jdm.2020070101.

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This article describes proposed content of an online toolkit for users of the work system modeling method (WSMM), an extension of the work system method (WSM), which was developed to help business professionals understand IT-reliant systems and collaborate with IT professionals. A summary of work system theory (WST) and WSM provides a background. A two-dimensional design space for modeling methods illustrates WSMM's context. Two limitations of WSMM imply the need for a toolkit that overcomes those limitations. An auto rental example is used to illustrate a series of modeling, analysis, and des
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Griv, Evgeny, Edward Liverts, Michael Gedalin, and Chi Yuan. "Modeling of the Saturnian Ring System." Symposium - International Astronomical Union 208 (2003): 45–52. http://dx.doi.org/10.1017/s0074180900207006.

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A self-consistent system of the Boltzmann equation and the Poisson equation is used to study the dynamical evolution of Saturn's main A, B, and C rings. The theory, as applied to the Saturnian ring system, predicts for several features, such as numerous irregular density wakes, with size and spacing between them of the order 4πρ ≈ 2πh, where ρ is the mean epicycle radius of the particle and h is the typical thickness of the system under study. In Saturn's rings, ρ ≲ 10 m. Computer N-body experiments are desribed which test the validities of the theory. Use of the 112-processor SGI Origin 2000
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Fang, Yulin, Kai H. Lim, Ying Qian, and Bo Feng. "System Dynamics Modeling for Information Systems Research: Theory of Development and Practical Application." MIS Quarterly 42, no. 4 (2018): 1303–29. http://dx.doi.org/10.25300/misq/2018/12749.

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Most information systems (IS) research develops theory for explanation and prediction based on a variance logical structure that assumes one-way, time invariant causal relationships. This approach largely misses the opportunity to extend theory from alternative logical structures that build upon reciprocal and temporal causal mechanisms; for example, the system perspective. This paper introduces system dynamics (SD), a modeling tool capable of capturing the reciprocal and temporal causal mechanisms that underlie many complex and dynamic systems, and demonstrates its ability to extend existing
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Dissertations / Theses on the topic "Modeling System Theory"

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Fong, Nga Hin Benjamin. "Modeling, Analysis,and Design of Responsive Manufacturing Systems Using Classical Control Theory." Diss., Virginia Tech, 2005. http://hdl.handle.net/10919/27269.

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The manufacturing systems operating within todayâ s global enterprises are invariably dynamic and complicated. Lean manufacturing works well where demand is relatively stable and predictable where product diversity is low. However, we need a much higher agility where customer demand is volatile with high product variety. Frequent changes of product designs need quicker response times in ramp-up to volume. To stay competitive in this 21st century global industrialization, companies must posses a new operation design strategy for responsive manufacturing systems that react to unpredictable mark
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Markovsky, Ivan. "Exact and approximate modeling of linear systems : a behavioral approach /." Philadelphia, Pa. : Society for Industrial and Applied Mathematics, 2006. http://www.loc.gov/catdir/enhancements/fy0708/2005057537-d.html.

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Cho, Tae Ho. "A hierarchical, modular simulation environment for flexible manufacturing system modeling." Diss., The University of Arizona, 1993. http://hdl.handle.net/10150/186144.

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Computer simulation is one of the most widely used techniques in manufacturing systems study. The value of simulation increases constantly due to improvements in computing power. However models of large-scale systems tend to be very complex, and writing simulation programs to execute them can be an arduous task. Rapid modeling of such systems can play a significant role in the selecting manufacturing strategy. This dissertation deals with the design and implementation of tools that aid in such modeling activity by identifying some of the problems that occur frequently in the modeling of flexib
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Oulton, David. "Selected papers on colorimetric theory and colour modeling." Thesis, University of Manchester, 2010. https://www.research.manchester.ac.uk/portal/en/theses/selected-papers-on-colorimetric-theory-and-colour-modeling(e4f13600-5d8e-45a8-afce-846647130dfb).html.

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The annotated papers that are submitted as part of this thesis consider the phenomenon of colour at the fundamental, technical, and application levels, and they were written and published by Oulton between 1990 and 2009. The papers disclose significant insights by the author into colorimetric modeling theory and report aspects of the author's work that have led to commercially successful practical applications. The academic significance of these papers is evident in their citation record; their practical value is shown by a number of successful industrial collaboration programmes, and through
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Balestrini, Robinson Santiago. "A modeling process to understand complex system architectures." Diss., Atlanta, Ga. : Georgia Institute of Technology, 2009. http://hdl.handle.net/1853/29621.

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Thesis (Ph.D)--Aerospace Engineering, Georgia Institute of Technology, 2010.<br>Committee Chair: Mavris, Dimitri; Committee Member: Bishop, Carlee; Committee Member: German, Brian; Committee Member: Nixon, Janel; Committee Member: Schrage, Daniel. Part of the SMARTech Electronic Thesis and Dissertation Collection.
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Cho, Jeongho. "Multiple modeling and control of nonlinear systems with self-organizing maps." [Gainesville, Fla.] : University of Florida, 2004. http://purl.fcla.edu/fcla/etd/UFE0008180.

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Xiong, Xiaolu. "Theory and Practice: Improving Retention Performance through Student Modeling and System Building." Digital WPI, 2017. https://digitalcommons.wpi.edu/etd-dissertations/139.

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The goal of Intelligent Tutoring systems (ITSs) is to engage the students in sustained reasoning activity and to interact with students based on a deep understanding of student behavior. In order to understand student behavior, ITSs rely on student modeling methods to observes student actions in the tutor and creates a quantitative representation of student knowledge, interests, affective states. Good student models are going to effectively help ITSs customize instructions, engage student's interest and then promote learning. Thus, the work of building ITSs and advancing student modeling shoul
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Gopal, Kartik. "Modeling and Optimization of Hospital Transportation System." University of Akron / OhioLINK, 2016. http://rave.ohiolink.edu/etdc/view?acc_num=akron1481314351566885.

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Moon, Kyungjin. "Self-reconfigurable ship fluid-network modeling for simulation-based design." Diss., Georgia Institute of Technology, 2010. http://hdl.handle.net/1853/34733.

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Our world is filled with large-scale engineering systems, which provide various services and conveniences in our daily life. A distinctive trend in the development of today's large-scale engineering systems is the extensive and aggressive adoption of automation and autonomy that enable the significant improvement of systems' robustness, efficiency, and performance, with considerably reduced manning and maintenance costs, and the U.S. Navy's DD(X), the next-generation destroyer program, is considered as an extreme example of such a trend. This thesis pursues a modeling solution for perform
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Qi, Chenkun. "Modeling of nonlinear distributed parameter system for industrial thermal processes /." access full-text access abstract and table of contents, 2009. http://libweb.cityu.edu.hk/cgi-bin/ezdb/thesis.pl?phd-meem-b23750911f.pdf.

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Thesis (Ph.D.)--City University of Hong Kong, 2009.<br>"Submitted to Department of Manufacturing Engineering and Engineering Management in partial fulfillment of the requirements for the degree of Doctor of Philosophy." Includes bibliographical references (leaves 167-187)
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Books on the topic "Modeling System Theory"

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Cellier, François E. Continuous System Modeling. Springer New York, 1991.

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Djaferis, Theodore E., and Irvin C. Schick, eds. System Theory: Modeling, Analysis and Control. Springer US, 1999. http://dx.doi.org/10.1007/978-1-4615-5223-9.

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Djaferis, Theodore E. System Theory: Modeling, Analysis and Control. Springer US, 2000.

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Haugen, Øystein, Rick Reed, and Reinhard Gotzhein, eds. System Analysis and Modeling: Theory and Practice. Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-36757-1.

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Goebel, Rafal. Hybrid dynamical systems: Modeling, stability, and robustness. Princeton University Press, 2012.

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Esfandiari, Ramin S. Modeling and analysis of dynamic systems. Taylor & Francis, 2010.

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1947-, Dubois Daniel, Lasker G. E. 1935-, Teiling Bernard 1942-, International Institute for Advanced Studies in Systems Research and Cybernetics., and International Conference on Systems Research, Informatics and Cybernetics (8th : 1996 : Baden-Baden, Germany), eds. Advances in modeling of anticipative systems. International Institute for Advanced Studies in Systems Research and Cybernetics, 1996.

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Zheng, Xiaolian. Stock Market Modeling and Forecasting: A System Adaptation Approach. Springer London, 2013.

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Sachs, E. W. System Modeling and Optimization XX: IFIP TC7 20th Conference on System Modeling and Optimization July 23-27, 2001, Trier, Germany. Springer US, 2003.

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Fabien, Brian C. Analytical system dynamics: Modeling and simulation. Springer Science+Business Media, 2009.

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Book chapters on the topic "Modeling System Theory"

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Osaki, Shunji. "Probability Theory." In Applied Stochastic System Modeling. Springer Berlin Heidelberg, 1992. http://dx.doi.org/10.1007/978-3-642-84681-6_1.

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DeLaurentis, Daniel A., Kushal Moolchandani, and Cesare Guariniello. "Network Theory." In System of Systems Modeling and Analysis. CRC Press, 2022. http://dx.doi.org/10.1201/9781003231011-7.

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van Gigch, John P. "The System Approach: Applied System Theory." In System Design Modeling and Metamodeling. Springer US, 1991. http://dx.doi.org/10.1007/978-1-4899-0676-2_4.

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DeLaurentis, Daniel A., Kushal Moolchandani, and Cesare Guariniello. "Bridging Theory and Practice." In System of Systems Modeling and Analysis. CRC Press, 2022. http://dx.doi.org/10.1201/9781003231011-6.

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Cin, Mario Dal. "Modeling fault-tolerant system behavior." In Systems: Theory and Practice. Springer Vienna, 1998. http://dx.doi.org/10.1007/978-3-7091-6451-8_10.

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Sauer, Peter W., and Bernard C. Lesieutre. "Power System Load Modeling." In Systems and Control Theory For Power Systems. Springer New York, 1995. http://dx.doi.org/10.1007/978-1-4757-2433-2_12.

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Mobus, George E. "System Ontology." In Systems Science: Theory, Analysis, Modeling, and Design. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-93482-8_3.

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Kang, Rui. "System Belief Reliability Modeling and Analysis." In Belief Reliability Theory and Methodology. Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-0823-0_5.

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Vidyasagar, M., and Rajeeva L. Karandikar. "System Identification: A Learning Theory Approach." In Control and Modeling of Complex Systems. Birkhäuser Boston, 2003. http://dx.doi.org/10.1007/978-1-4612-0023-9_6.

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Chen, Haoyong, Huaguang Yan, and Guixiong He. "Energy Network Theory of IES." In Integrated Energy System Modeling and Simulation. Springer Nature Singapore, 2025. https://doi.org/10.1007/978-981-96-0373-2_3.

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Conference papers on the topic "Modeling System Theory"

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Ye, Hong, Yong-Hong Tang, Zu-De Zhou, and Chao-Yang Wang. "Software reliability modeling by gray system theory." In Measurement Technology and Intelligent Instruments, edited by Li Zhu. SPIE, 1993. http://dx.doi.org/10.1117/12.156386.

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Todorov, Vladislav, and Dora Marinova. "Information Theory Perspective on Modeling Sustainability." In 2010 43rd Hawaii International Conference on System Sciences. IEEE, 2010. http://dx.doi.org/10.1109/hicss.2010.459.

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Mahdi, Qaysar S., and Shant Karneek. "Modeling of radar moniter system using computer simulation." In EM Theory (ISAPE - 2010). IEEE, 2010. http://dx.doi.org/10.1109/isape.2010.5696531.

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Xiong, Xianwei, Zhuobin Wei, and Cheng’an Xiang. "Stability of Mooring System Based on Linear Complementarity System Theory." In 2nd International Conference on Computer Application and System Modeling. Atlantis Press, 2012. http://dx.doi.org/10.2991/iccasm.2012.218.

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Dwinger, Kevin, and Jens Friedrichs. "Validation of a System Theory Model for Aircraft Engine Simulation." In AIAA Modeling and Simulation Technologies Conference. American Institute of Aeronautics and Astronautics, 2017. http://dx.doi.org/10.2514/6.2017-3830.

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Essabbah, M., S. Otmane, and M. Mallem. "3D molecular modeling: from theory to applications." In 2008 Conference on Human System Interactions (HSI). IEEE, 2008. http://dx.doi.org/10.1109/hsi.2008.4581462.

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Xue, qing, ping-gang Yu, chang-wei Zheng, and ying Xue. "Operation system modeling based on Complex Network theory." In 2010 International Conference on Computer Application and System Modeling (ICCASM 2010). IEEE, 2010. http://dx.doi.org/10.1109/iccasm.2010.5620200.

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Wang Li-na, Zhang Cai-hong, and Su Wang. "Overall theory model system about externality controlling." In 2010 International Conference on Computer Application and System Modeling (ICCASM 2010). IEEE, 2010. http://dx.doi.org/10.1109/iccasm.2010.5620089.

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Han, En-Pei, and Daniel DeLaurentis. "A Network Theory-Based Approach for Modeling a System-of-Systems." In 11th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference. American Institute of Aeronautics and Astronautics, 2006. http://dx.doi.org/10.2514/6.2006-6989.

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Chen, Hong-xia, and Xiang-lin Zhou. "Stability of urban spatial system: From theory to modeling." In 2014 International Conference on Management Science and Engineering (ICMSE). IEEE, 2014. http://dx.doi.org/10.1109/icmse.2014.6930473.

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Reports on the topic "Modeling System Theory"

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Li, Honghai, Mitchell Brown, Lihwa Lin, et al. Coastal Modeling System user's manual. Engineer Research and Development Center (U.S.), 2024. http://dx.doi.org/10.21079/11681/48392.

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The Coastal Modeling System (CMS) is a suite of coupled 2D numerical models for simulating nearshore waves, currents, water levels, sediment transport, morphology change, and salinity and temperature. Developed by the Coastal Inlets Research Program of the US Army Corps of Engineers, the CMS provides coastal engineers and scientists a PC-based, easy-to-use, accurate, and efficient tool for understanding of coastal processes and for designing and managing of coastal inlets research, navigation projects, and sediment exchange between inlets and adjacent beaches. The present technical report acts
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Teller, Patricia, and Sarala Arunagiri. I/O Coordination to Improve HEC System Performance: A Marriage of Analytical Modeling, Control Theory, and Differentiated I/O Performance. Office of Scientific and Technical Information (OSTI), 2014. http://dx.doi.org/10.2172/1122130.

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Modlo, Yevhenii O., Serhiy O. Semerikov, Ruslan P. Shajda, Stanislav T. Tolmachev, and Oksana M. Markova. Methods of using mobile Internet devices in the formation of the general professional component of bachelor in electromechanics competency in modeling of technical objects. [б. в.], 2020. http://dx.doi.org/10.31812/123456789/3878.

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The article describes the components of methods of using mobile Internet devices in the formation of the general professional component of bachelor in electromechanics competency in modeling of technical objects: using various methods of representing models; solving professional problems using ICT; competence in electric machines and critical thinking. On the content of learning academic disciplines “Higher mathematics”, “Automatic control theory”, “Modeling of electromechanical systems”, “Electrical machines” features of use are disclosed for Scilab, SageCell, Google Sheets, Xcos on Cloud in
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Saptsin, Vladimir, and Володимир Миколайович Соловйов. Relativistic quantum econophysics – new paradigms in complex systems modelling. [б.в.], 2009. http://dx.doi.org/10.31812/0564/1134.

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This work deals with the new, relativistic direction in quantum econophysics, within the bounds of which a change of the classical paradigms in mathematical modelling of socio-economic system is offered. Classical physics proceeds from the hypothesis that immediate values of all the physical quantities, characterizing system’s state, exist and can be accurately measured in principle. Non-relativistic quantum mechanics does not reject the existence of the immediate values of the classical physical quantities, nevertheless not each of them can be simultaneously measured (the uncertainty principle
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Hossain, Niamat Ullah Ibne, Raed Jaradat, Seyedmohsen Hosseini, Mohammad Marufuzzaman, and Randy Buchanan. A framework for modeling and assessing system resilience using a Bayesian network : a case study of an interdependent electrical infrastructure systems. Engineer Research and Development Center (U.S.), 2021. http://dx.doi.org/10.21079/11681/40299.

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This research utilizes Bayesian network to address a range of possible risks to the electrical power system and its interdependent networks (EIN) and offers possible options to mitigate the consequences of a disruption. The interdependent electrical infrastructure system in Washington, D.C. is used as a case study to quantify the resilience using the Bayesian network. Quantification of resilience is further analyzed based on different types of analysis such as forward propagation, backward propagation, sensitivity analysis, and information theory. The general insight drawn from these analyses
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O'Halloran, Kay, and Kevin Judd. Synthesis of Systemic Functional Theory & Dynamical Systems Theory for Socio-Cultural Modeling. Defense Technical Information Center, 2011. http://dx.doi.org/10.21236/ada536099.

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O'Halloran, Kay. Synthesis of Systemic Functional Theory & Dynamical Systems Theory for Socio-Cultural Modeling. Defense Technical Information Center, 2012. http://dx.doi.org/10.21236/ada560376.

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Soloviev, Vladimir, Natalia Moiseienko, and Olena Tarasova. Modeling of cognitive process using complexity theory methods. [б. в.], 2019. http://dx.doi.org/10.31812/123456789/3609.

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The features of modeling of the cognitive component of social and humanitarian systems have been considered. An example of using multiscale, multifractal and network complexity measures has shown that these and other synergetic models and methods allow us to correctly describe the quantitative differences of cognitive systems. The cognitive process is proposed to be regarded as a separate implementation of an individual cognitive trajectory, which can be represented as a time series and to investigate its static and dynamic features by the methods of complexity theory. Prognostic possibilities
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Brockett, R. W. Modeling and Estimation Theory for Stochastic Dynamical Systems. Defense Technical Information Center, 1986. http://dx.doi.org/10.21236/ada172902.

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Pasupuleti, Murali Krishna. Mathematical Modeling for Machine Learning: Theory, Simulation, and Scientific Computing. National Education Services, 2025. https://doi.org/10.62311/nesx/rriv125.

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Abstract Mathematical modeling serves as a fundamental framework for advancing machine learning (ML) and artificial intelligence (AI) by integrating theoretical, computational, and simulation-based approaches. This research explores how numerical optimization, differential equations, variational inference, and scientific computing contribute to the development of scalable, interpretable, and efficient AI systems. Key topics include convex and non-convex optimization, physics-informed machine learning (PIML), partial differential equation (PDE)-constrained AI, and Bayesian modeling for uncertai
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