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Добірка наукової літератури з теми "Modeling System Theory"

Автор: Grafiati

Опубліковано: 11 березня 2023

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Статті в журналах з теми "Modeling System Theory"

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 1970s, these attempts ended unsuccessfully in general. The second area of international relations system modeling is related to the work of structural realists, primarily K. Waltz and M. Kaplan. Despite the fact that in their papers the verbal analysis dominates over the formal international relations system model, they have made a significant contribution to the political science in perception of the systems theory. The paper also describes the system modeling in the context of the Neo-Marxist theory of international relations, first and foremost, in the meaning of the I. Wallerstein's world-system theory. Special attention is paid to the systemic research crisis in the IR science at the turn of 1980–1990s, also due to a sharp change in the international situation, and the transition from a predominantly deterministic world of the Cold War to the post-bipolar non-equilibrium international system. The authors clearly reveal the evolution of the international relations perception in terms of the systems theory. They also illustrate the intensification of the international system modeling in the XXIst century on the basis of a new methodology – via the use of the more sophisticated complexity theory (the theory of complex systems), as well as by adapting the sociological theory of structuration by A. Giddens in political sciences. Showing the most promising areas of the complexity theory practical application in the modeling of international relations – agent-based modeling and simulation of system dynamics, – the authors enumerate the most promising spheres for the system modeling in international studies.

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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 (September 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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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 (May 6, 2009): 690–94. http://dx.doi.org/10.3724/sp.j.1087.2009.00690.

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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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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 mathematical modeling ignores the system nature of objects and their models, and also complicates the formalization of the problem, its translation from the verbal form of description to the formal one. The need to understand the relationships between the elements of the system, its structure and functions, combined with the description of system patterns, led to the development of system modeling, which aims not only to gain knowledge about the system, but also to optimize it.

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Sun, Zhi, and Shoujian Zhang. "Complex system modeling on establishment of construction standard system." Structural Survey 32, no. 1 (April 8, 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 characteristic of standard system, the structure modeling method of complex system is given. This paper provides a new method and theory bases for the construction standard system establishment. Originality/value – Dynamic, open and non-linear can be considered as the core characteristics of construction standard system in structure, environment and behavior aspects, and that means the standard system is a typical complex system.

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Bai, Enjun, Liyang Xie, Hongyi Ma, Jungang Ren, and Shijian Zhang. "Reliability Modeling and Estimation of the Gear System." Mathematical Problems in Engineering 2018 (September 24, 2018): 1–9. http://dx.doi.org/10.1155/2018/9091684.

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Traditional reliability models of the gear system either simplify the gear system unreasonably or are too complicated to be applicable for some gear systems. Therefore, a reliability model of the gear system considering statistically dependent failure based on the theory of the order statistics is developed in this paper. Firstly, the gear bending fatigue test of small sample is implemented to obtain the P-S-N curves that are fitted by using the least square method and the linear regression method of the statistical parameters under the test stress levels. Then, according to stress-strength interference theory and the theory of the order statistics, the reliability models considering the number of load cycles from a gear to gear system are built, which indicates clear modeling process of the gear system. Finally, the proposed reliability model of gear system is validated by using the Monte Carlo Simulation (MCS) and the system reliability under special load history is analyzed qualitatively.

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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 (July 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 design modules related to different stakeholder purposes. Most of the modules reflect components of Word documents used as outlines to produce over 700 management briefings, mostly by MBA and Executive MBA students, between 2003 and 2017. A concluding section summarizes the main ideas, explains how the use of different modules based on the work system metaphor flexibly supports systems analysis and design, and identifies challenges for future research.

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Tyncherov, K. T., A. A. Olenev, M. V. Selivanova, and K. A. Kirichek. "Modeling set theory laws using maple computer algebra system." Journal of Physics: Conference Series 1661 (November 2020): 012086. http://dx.doi.org/10.1088/1742-6596/1661/1/012086.

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Дисертації з теми "Modeling System Theory"

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 market changes as well as to launch new products in a cost-effective and efficient way. The objective of this research is to develop an alternative method to model, analyze, and design responsive manufacturing systems using classical control theory. This new approach permits industrial engineers to study and better predict the transient behavior of responsive manufacturing systems in terms of production lead time, WIP overshoot, system responsiveness, and lean finished inventory. We provide a one-to-one correspondence to translate manufacturing terminologies from the System Dynamics (SD) models into the block diagram representation and transfer functions. We can analytically determine the transient characteristics of responsive manufacturing systems. This analytical formulation is not offered in discrete event simulation or system dynamics approach. We further introduce the Root Locus design technique that investigates the sensitivity of the closed-loop poles location as they relate to the manufacturing world on a complex s-plane. This subsequent complex plane analysis offers new management strategies to better predict and control the dynamic responses of responsive manufacturing systems in terms of inventory build-up (i.e., leanness) and lead time. We define classical control theory terms and interpret their meanings according to the closed-loop poles locations to assist production management in utilizing the Root Locus design tool. Again, by applying this completely graphic view approach, we give a new design approach that determine the responsive manufacturing parametric set of values without iterative trial-and-error simulation replications as found in discrete event simulation or system dynamics approach.
Ph. D.

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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 flexible manufacturing systems (FMS). This set of tools, collectively called the hierarchical modular modeling environment (HMME), is designed and implement by extending DEVS(Discrete EVent System Specification)-Scheme. The problems identified are in the field of model interconnections, embedding expert systems in models, model structuring and simulation display. An example, of operation overlapping strategy in a hierarchical FMS, demonstrates the utility of the environment. Although developed for FMS simulation, this modeling aid is applicable to many other domains of knowledge-based systems and intelligent control.

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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 the award of national prizes for innovation by the Worshipful Company of Dyers, and the Society of Dyers and Colorists. The published research primarily concerns digital devices that either capture or reproduce coloured images. For example, the research problem of how to calibrate the colour on computer CRT screens, which was thought at the time to be intractable, was reported by Oulton in paper 1 to be solved at the two to three significant figure level of colorimetric accuracy. This world leading level of accuracy was subsequently confirmed using a comprehensive data set in paper 7, and has been exploited internationally in commercial computer aided design and colour communication systems by Textile Computer Systems Ltd and Datacolor Inc. Further research problems resolved by Oulton in the presented papers include how to predict the colorimetric sensitivity of dye recipes; how to design, test, and fine-tune the spectral response of digital cameras; and how the individual customers in a shop can be tracked automatically to reveal their buying behavior, using coloured CCTV images.The challenge to the standard CIE colorimetric model posed by the results of Dr W.A. Thornton was analyzed and satisfactorily explained by Oulton in papers 2, 3 and 4. It is also shown that Thornton's results do not in any way compromise either the practice of colorimetry based on the CIE Standard Observer, or the validity of its quantifying data sets. It is also additionally shown under the annotation of paper 4 presented here, that the success of the CIE colorimetric model has a clearly demonstrable theoretical basis.In all but one of the presented papers the convention is maintained that the standard CIE XYZ co-ordinate model should be used as the reference basis, when modeling the properties of colour and quantifying its uses. The final paper to be published (and presented here as paper 4) challenges this convention and demonstrates that a context free and formally defined alternative reference basis may be used in colorimetric modeling with significant advantage. It is also shown in paper 4 that under the specified axioms, any cross dependency that is potentially non linear can in principle be resolved into its component scalar and additive relationships, and that the causes of scalar non linearity may be characterized independently from the causes of linearly additive cross dependency. The result is a widely applicable analytical and experimental design method for resolving complex cross dependent relationships in general and in particular, for resolving those between the spectral visual stimuli and the psychophysical response to them.

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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.
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 should be considered as two interconnected components of one system rather than two separate topics. In this work, we utilized the theoretical support of a well-known learning science theory, the spacing effect, to guide the development of an ITS, called Automatic Reassessment and Relearning System (ARRS). ARRS not only validated the effectiveness of spacing effect, but it also served as a testing field which allowed us to find out new approaches to improve student learning by conducting large-scale randomized controlled trials (RCTs). The rich data set we gathered from ARRS has advanced our understanding of robust learning and helped us build student models with advanced data mining methods. At the end, we designed a set of API that supports the development of ARRS in next generation ASSISTments platform and adopted deep learning algorithms to further improve retention performance prediction. We believe our work is a successful example of combining theory and practice to advance science and address real- world problems.

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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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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.
"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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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 performing simulation-based analysis in the conceptual or preliminary design stage of an intelligent, self-reconfigurable ship fluid system, which is one of the concepts of DD(X) engineering plant development. Through the investigations on the Navy's approach for designing a more survivable ship system, it is found that the current naval simulation-based analysis environment is limited by the capability gaps in damage modeling, dynamic model reconfiguration, and simulation speed of the domain specific models, especially fluid network models. As enablers of filling these gaps, two essential elements were identified in the formulation of the modeling method. The first one is the graph-based topological modeling method, which will be employed for rapid model reconstruction and damage modeling, and the second one is the recurrent neural network-based, component-level surrogate modeling method, which will be used to improve the affordability and efficiency of the modeling and simulation (M&S) computations. The integration of the two methods can deliver computationally efficient, flexible, and automation-friendly M&S which will create an environment for more rigorous damage analysis and exploration of design alternatives. As a demonstration for evaluating the developed method, a simulation model of a notional ship fluid system was created, and a damage analysis was performed. Next, the models representing different design configurations of the fluid system were created, and damage analyses were performed with them in order to find an optimal design configuration for system survivability. Finally, the benefits and drawbacks of the developed method were discussed based on the result of the demonstration.

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Книги з теми "Modeling System Theory"

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

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Djaferis, Theodore E., and Irvin C. Schick, eds. System Theory: Modeling, Analysis and Control. Boston, MA: 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. Boston, MA: Springer US, 2000.

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Modeling complex systems. 2nd ed. New York: Springer, 2010.

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Modeling complex systems. New York: Springer, 2004.

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

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Modeling system operators affecting the information organizer of an individual. Helsinki: Dept. of Education, University of Helsinki, 1991.

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Control systems modeling and analysis. Englewood Cliffs, N.J: Prentice-Hall, 1986.

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

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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. Windsor, Ont: International Institute for Advanced Studies in Systems Research and Cybernetics, 1996.

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Частини книг з теми "Modeling System Theory"

Osaki, Shunji. "Probability Theory." In Applied Stochastic System Modeling, 1–24. Berlin, Heidelberg: 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, 85–106. Boca Raton: 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, 61–95. Boston, MA: 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, 63–84. Boca Raton: 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, 213–34. Vienna: 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, 283–313. New York, NY: 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, 89–175. Cham: 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, 113–34. Singapore: 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, 89–104. Boston, MA: Birkhäuser Boston, 2003. http://dx.doi.org/10.1007/978-1-4612-0023-9_6.

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Romney, Bruce. "Atlas: An Automatic Assembly Sequencing and Fixturing System." In Geometric Modeling: Theory and Practice, 397–415. Berlin, Heidelberg: Springer Berlin Heidelberg, 1997. http://dx.doi.org/10.1007/978-3-642-60607-6_26.

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Тези доповідей конференцій з теми "Modeling System Theory"

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. Paris, France: 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. Reston, Virginia: 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. Reston, Virigina: 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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Звіти організацій з теми "Modeling System Theory"

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), March 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.], July 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 the formation of the general professional component of bachelor in electromechanics competency in modeling of technical objects. It is concluded that it is advisable to use the following software for mobile Internet devices: a cloud-based spreadsheets as modeling tools (including neural networks), a visual modeling systems as a means of structural modeling of technical objects; a mobile computer mathematical system used at all stages of modeling; a mobile communication tools for organizing joint modeling activities.

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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.), April 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 indicate that reliability, backup power source, and resource restoration are the prime factors contributed towards enhancing the resilience of an interdependent electrical infrastructure system.

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Saptsin, Vladimir, and Володимир Миколайович Соловйов. Relativistic quantum econophysics – new paradigms in complex systems modelling. [б.в.], July 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). Relativistic quantum mechanics rejects the existence of the immediate values of any physical quantity in principle, and consequently the notion of the system state, including the notion of the wave function, which becomes rigorously nondeﬁnable. The task of this work consists in econophysical analysis of the conceptual fundamentals and mathematical apparatus of the classical physics, relativity theory, non-relativistic and relativistic quantum mechanics, subject to the historical, psychological and philosophical aspects and modern state of the socio-economic modeling problem. We have shown that actually and, virtually, a long time ago, new paradigms of modeling were accepted in the quantum theory, within the bounds of which the notion of the physical quantity operator becomes the primary fundamental conception(operator is a mathematical image of the procedure, the action), description of the system dynamics becomes discrete and approximate in its essence, prediction of the future, even in the rough, is actually impossible when setting aside the aftereﬀect i.e. the memory. In consideration of the analysis conducted in the work we suggest new paradigms of the economical-mathematical modeling.

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O'Halloran, Kay, and Kevin Judd. Synthesis of Systemic Functional Theory & Dynamical Systems Theory for Socio-Cultural Modeling. Fort Belvoir, VA: Defense Technical Information Center, January 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. Fort Belvoir, VA: Defense Technical Information Center, May 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 of the complex systems theory will allow to correct the corresponding pedagogical technologies.

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Brockett, R. W. Modeling and Estimation Theory for Stochastic Dynamical Systems. Fort Belvoir, VA: Defense Technical Information Center, September 1986. http://dx.doi.org/10.21236/ada172902.

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Соловйов, Володимир Миколайович, Наталя Володимирівна Моісеєнко, and Олена Юріївна Тарасова. Complexity theory and dynamic characteristics of cognitive processes. Springer, January 2020. http://dx.doi.org/10.31812/123456789/4143.

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The features of modeling of the cognitive component of social and humanitarian systems have been considered. An example of using entropy multiscale, multifractal, recurrence 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 of the complex systems theory will allow to correct the corresponding pedagogical technologies. It has been proposed to track and quantitatively describe the cognitive trajectory using specially transformed computer games which can be used to test the processual characteristics of thinking.

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Nagahi, Morteza, Raed Jaradat, Simon Goerger, Michael Hamilton, Randy Buchanan, Sawsan Abutabenjeh, and Junfeng Ma. The impact of practitioners’ personality traits on their level of systems-thinking skills preferences. Engineer Research and Development Center (U.S.), October 2022. http://dx.doi.org/10.21079/11681/45791.

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In this study, we used a structural equation modeling method to investigate the relationship between systems engineers and engineering managers’ Systems-Thinking (ST) skills preferences and their Personality Traits (PTs) in the domain of complex system problems. As organizations operate in more and more turbulent and complex environments, it has become increasingly important to assess the ST skills preferences and PTs of engineers. The current literature lacks studies related to the impact of systems engineers and engineering managers’ PTs on their ST skills preferences, and this study aims to address this gap. A total of 99 engineering managers and 104 systems engineers provided the data to test four hypotheses posed in this study. The results show that the PTs of systems engineers and engineering managers have a positive impact on their level of ST skills preferences and that the education level, the current occupation type, and the managerial experience of the systems engineers and engineering managers moderate the main relationship in the study.

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