Auswahl der wissenschaftlichen Literatur zum Thema „Control theory“

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Zeitschriftenartikel zum Thema "Control theory"

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James, M. R. "Optimal Quantum Control Theory." Annual Review of Control, Robotics, and Autonomous Systems 4, no. 1 (2021): 343–67. http://dx.doi.org/10.1146/annurev-control-061520-010444.

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This article explains some fundamental ideas concerning the optimal control of quantum systems through the study of a relatively simple two-level system coupled to optical fields. The model for this system includes both continuous and impulsive dynamics. Topics covered include open- and closed-loop control, impulsive control, open-loop optimal control, quantum filtering, and measurement feedback optimal control.
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Marden, Jason R., and Jeff S. Shamma. "Game Theory and Control." Annual Review of Control, Robotics, and Autonomous Systems 1, no. 1 (2018): 105–34. http://dx.doi.org/10.1146/annurev-control-060117-105102.

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Game theory is the study of decision problems in which there are multiple decision makers and the quality of a decision maker's choice depends on both that choice and the choices of others. While game theory has been studied predominantly as a modeling paradigm in the mathematical social sciences, there is a strong connection to control systems in that a controller can be viewed as a decision-making entity. Accordingly, game theory is relevant in settings with multiple interacting controllers. This article presents an introduction to game theory, followed by a sampling of results in three spec
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HERSHBERGER, WAYNE A. "Control Theory and Learning Theory." American Behavioral Scientist 34, no. 1 (1990): 55–66. http://dx.doi.org/10.1177/0002764290034001006.

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Shin, Seiichi. "Motion Control and Control Theory." IEEJ Transactions on Industry Applications 120, no. 1 (2000): 3–4. http://dx.doi.org/10.1541/ieejias.120.3.

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HOTZ, ANTHONY, and ROBERT E. SKELTON. "Covariance control theory." International Journal of Control 46, no. 1 (1987): 13–32. http://dx.doi.org/10.1080/00207178708933880.

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Cziko, Gary A. "Perceptual Control Theory." Educational Researcher 21, no. 9 (1992): 25–27. http://dx.doi.org/10.3102/0013189x021009025.

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Elliott, D. L. "Geometric control theory." IEEE Transactions on Automatic Control 45, no. 2 (2000): 376–77. http://dx.doi.org/10.1109/tac.2000.839969.

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Osipova, J. V. "Identity control theory." Moscow State University Bulletin. Series 18. Sociology and Political Science 22, no. 1 (2016): 215–24. http://dx.doi.org/10.24290/1029-3736-2016-22-1-215-224.

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Hannon, Bruce. "Ecosystem control theory." Journal of Theoretical Biology 121, no. 4 (1986): 417–37. http://dx.doi.org/10.1016/s0022-5193(86)80100-x.

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Melzack, Ronald. "Gate control theory." Pain Forum 5, no. 2 (1996): 128–38. http://dx.doi.org/10.1016/s1082-3174(96)80050-x.

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Dissertationen zum Thema "Control theory"

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Oh, Sunseek. "A Promising Control Theory." University of Arizona Linguistics Circle, 1989. http://hdl.handle.net/10150/226550.

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Spjøtvold, Jørgen. "Parametric Programming in Control Theory." Doctoral thesis, Norwegian University of Science and Technology, Faculty of Information Technology, Mathematics and Electrical Engineering, 2008. http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-2198.

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<p>The main contributions in this thesis are advances in parametric programming. The thesis is divided into three parts; theoretical advances, application areas and constrained control allocation. The first part deals with continuity properties and the structure of solutions to convex parametric quadratic and linear programs. The second part focuses on applications of parametric quadratic and linear programming in control theory. The third part deals with constrained control allocation and how parametric programming can be used to obtain explicit solutions to this problem.</p>
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Zimbidis, Alexandros A. "Control theory and insurance systems." Thesis, City University London, 1999. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.287673.

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Ovenden, Christopher David. "Towards a theory of control." Thesis, University of Manchester, 2013. https://www.research.manchester.ac.uk/portal/en/theses/towards-a-theory-of-control(ecf7fcd2-5ccd-45e7-a02e-86202c390057).html.

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Control is a concept that has received surprisingly little attention in the philosophy of action and ethics, given its prima facie ties to freedom, responsibility, intentionality and agency more generally. In this collection I take the first step towards an account of agential control: the kind of control that agents commonly exercise over actions, events, and even other agents. In the introduction I give a sketch of the complete thesis on control: characterising agential control as consisting primarily in the restriction or guidance of some process, and secondarily in the continuous monitorin
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Robertz, Daniel. "Formal computational methods for control theory." [S.l.] : [s.n.], 2006. http://deposit.ddb.de/cgi-bin/dokserv?idn=981070019.

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Agi, Egemen. "Mathematical Modeling Of Gate Control Theory." Master's thesis, METU, 2009. http://etd.lib.metu.edu.tr/upload/3/12611468/index.pdf.

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The purpose of this thesis work is to model the gate control theory, which explains the modulation of pain signals, with a motivation of finding new possible targets for pain treatment and to find novel control algorithms that can be used in engineering practice. The difference of the current study from the previous modeling trials is that morphologies of neurons that constitute gate control system are also included in the model by which structure-function relationship can be observed. Model of an excitable neuron is constructed and the response of the model for different perturbations are inv
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Bellon, James. "Riccati Equations in Optimal Control Theory." Digital Archive @ GSU, 2008. http://digitalarchive.gsu.edu/math_theses/46.

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It is often desired to have control over a process or a physical system, to cause it to behave optimally. Optimal control theory deals with analyzing and finding solutions for optimal control for a system that can be represented by a set of differential equations. This thesis examines such a system in the form of a set of matrix differential equations known as a continuous linear time-invariant system. Conditions on the system, such as linearity, allow one to find an explicit closed form finite solution that can be more efficiently computed compared to other known types of solutions. This is
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Yiu, Ka Fai Cedric. "Aerodynamic design via optimal control theory." Thesis, University of Oxford, 1992. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.317867.

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Al-Assaf, Y. "Self-tuning control : Theory and applications." Thesis, University of Oxford, 1988. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.235033.

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Abouhajar, Alaa Abdulwahab Abdulrahman. "Function theory related to H∞ control." Thesis, University of Newcastle Upon Tyne, 2012. http://hdl.handle.net/10443/1412.

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We define Γ(E), a subset of C³, related to the structured singular value μ of 2x2 matrices. μ is used to analyse performance and robustness of linear feedback systems in control engineering. We find a characterisation for the elements of Γ(E) and establish a necessary and sufficient condition for the existence of an analytic function from the unit disc into Γ(E) satisfying an arbitrary finite number of interpolation conditions. We prove a Schwarz Lemma for Γ(E) when one of the points in Γ(E) is (0,0,0), then we show that in this case, the Carathéodory and Kobayashi distances between the two p
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Bücher zum Thema "Control theory"

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Leigh, J. R. Control Theory. 2nd ed. IET, 2004.

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Engineers, Institution of Electrical, ed. Control theory. 2nd ed. Institution of Electrical Engineers, 2004.

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Doyle, John Comstock. Feedback control theory. Macmillan Pub. Co., 1992.

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Sethi, Suresh P. Optimal Control Theory. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-91745-6.

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Baillieul, J., and J. C. Willems, eds. Mathematical Control Theory. Springer New York, 1999. http://dx.doi.org/10.1007/978-1-4612-1416-8.

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Sontag, Eduardo D. Mathematical Control Theory. Springer New York, 1998. http://dx.doi.org/10.1007/978-1-4612-0577-7.

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Zabczyk, Jerzy. Mathematical Control Theory. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-44778-6.

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Foias, Ciprian, Bruce Francis, J. William Helton, Huibert Kwakernaak, and J. Boyd Pearson. H∞-Control Theory. Edited by Edoardo Mosca and Luciano Pandolfi. Springer Berlin Heidelberg, 1991. http://dx.doi.org/10.1007/bfb0084465.

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Zabczyk, Jerzy. Mathematical Control Theory. Birkhäuser Boston, 2008. http://dx.doi.org/10.1007/978-0-8176-4733-9.

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Sontag, Eduardo D. Mathematical Control Theory. Springer US, 1990. http://dx.doi.org/10.1007/978-1-4684-0374-9.

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Buchteile zum Thema "Control theory"

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Elaydi, Saber N. "Control Theory." In An Introduction to Difference Equations. Springer New York, 1999. http://dx.doi.org/10.1007/978-1-4757-3110-1_6.

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Pommaret, J. F. "Control Theory." In Partial Differential Equations and Group Theory. Springer Netherlands, 1994. http://dx.doi.org/10.1007/978-94-017-2539-2_8.

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Manitius, Andre Z. "Control Theory." In Encyclopedia of Operations Research and Management Science. Springer US, 2013. http://dx.doi.org/10.1007/978-1-4419-1153-7_163.

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Davis, Mark H. A. "Control theory." In Markov Models and Optimization. Springer US, 1993. http://dx.doi.org/10.1007/978-1-4899-4483-2_4.

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Taha, Walid M., Abd-Elhamid M. Taha, and Johan Thunberg. "Control Theory." In Cyber-Physical Systems: A Model-Based Approach. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-36071-9_4.

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Piccoli, B. "Control Theory." In Foliations on Surfaces. Springer Berlin Heidelberg, 2001. http://dx.doi.org/10.1007/978-3-662-04524-4_17.

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Elaydi, Saber N. "Control Theory." In An Introduction to Difference Equations. Springer New York, 1996. http://dx.doi.org/10.1007/978-1-4757-9168-6_6.

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Ding, Suining. "Control Theory." In Environment-Behavior Studies for Healthcare Design. Routledge, 2022. http://dx.doi.org/10.4324/9781003177029-9.

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Boucher, Thomas O. "Control Theory." In Computer Automation in Manufacturing. Springer US, 1996. http://dx.doi.org/10.1007/978-1-4615-2045-0_5.

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Tyson, Robert K., and Benjamin W. Frazier. "Control Theory." In Principles of Adaptive Optics, 5th ed. CRC Press, 2022. http://dx.doi.org/10.1201/9781003140191-8.

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Konferenzberichte zum Thema "Control theory"

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Guilloteau, Quentin, Sophie Cerf, Raphaël Bleuse, Bogdan Robu, and Eric Rutten. "Under Control: A Control Theory Introduction for Computer Scientists." In 2024 IEEE International Conference on Autonomic Computing and Self-Organizing Systems Companion (ACSOS-C). IEEE, 2024. https://doi.org/10.1109/acsos-c63493.2024.00044.

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Yijie, Yin, Wang Deshuang, and Zhang Feilong. "Flight Vehicle Control Design Based on Modern Control Theory." In 2023 International Conference on Information Processing and Network Provisioning (ICIPNP). IEEE, 2023. https://doi.org/10.1109/icipnp62754.2023.00023.

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Riess, Hans, Gregory Henselman-Petrusek, Michael C. Munger, Robert Ghrist, Zachary I. Bell, and Michael M. Zavlanos. "Network Preference Dynamics Using Lattice Theory." In 2024 American Control Conference (ACC). IEEE, 2024. http://dx.doi.org/10.23919/acc60939.2024.10645007.

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Mekki, Ahmed, and Simon Collart-Dutilleul. "Graph theory: Application to system recovery." In 2012 UKACC International Conference on Control (CONTROL). IEEE, 2012. http://dx.doi.org/10.1109/control.2012.6334718.

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Farshchi, Seyyed Mohammad Reza, and Irene Kehvazadeh. "Finding risk dominance strategy in imperfect game, a theory perspective." In 2012 UKACC International Conference on Control (CONTROL). IEEE, 2012. http://dx.doi.org/10.1109/control.2012.6334732.

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Kawahata, Shotaro, Mingcong Deng, and Shin Wakitani. "Operator theory based nonlinear fault tolerance control for MIMO microreactor." In 2016 UKACC 11th International Conference on Control (CONTROL). IEEE, 2016. http://dx.doi.org/10.1109/control.2016.7737598.

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Dellar, Oliver J., and Bryn Ll Jones. "Discretising the linearised navier-stokes equations: A systems theory approach." In 2016 UKACC 11th International Conference on Control (CONTROL). IEEE, 2016. http://dx.doi.org/10.1109/control.2016.7737634.

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Meng, Fanlin, Jinya Su, Cunjia Liu, and Wen-Hua Chen. "Dynamic decision making in lane change: Game theory with receding horizon." In 2016 UKACC 11th International Conference on Control (CONTROL). IEEE, 2016. http://dx.doi.org/10.1109/control.2016.7737643.

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Stocco, Leo, Ignacio Galiano, Francisco Paz, Roberto Rosales, and David Feixo. "Control Theory Practices Applied to Teaching Practical Control Theory." In ASME 2017 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2017. http://dx.doi.org/10.1115/imece2017-72290.

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Control theory is useful in a broad range of diverse applications that include mechanical, electrical and chemical systems. This work extends the application of control theory from achieving a desired technical outcome to achieving a desired pedagogical outcome. In this paper, the desired outcome is the teaching and learning of applied control systems theory. In the proposed model, the student is the plant, their skill set is the set point, the instructor is the controller, and either an exam or a project-based-learning (PBL) course is the sensor. The PBL course is used to evaluate the actual
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Moskowitz, Ira S., Pedro N. Safier, and Paul Cotae. "Algebraic Information Theory and Kosko's Forbidden Interval Theorem." In Modelling, Identification and Control. ACTAPRESS, 2013. http://dx.doi.org/10.2316/p.2013.801-053.

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Berichte der Organisationen zum Thema "Control theory"

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Dai, Xingde. Conference on Operator Theory, Wavelet Theory and Control Theory. Defense Technical Information Center, 1993. http://dx.doi.org/10.21236/ada277429.

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Levis, Alexander H., and Michael Athans. Command and Control Theory. Defense Technical Information Center, 1989. http://dx.doi.org/10.21236/ada212515.

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Wiatrowski, Michael. Social Control Theory and Delinquency. Portland State University Library, 2000. http://dx.doi.org/10.15760/etd.857.

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Doyle, John C. Robust Control Theory and Applications. Defense Technical Information Center, 1998. http://dx.doi.org/10.21236/ada337888.

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Bobashev, Georgiy, John Holloway, Eric Solano, and Boris Gutkin. A Control Theory Model of Smoking. RTI Press, 2017. http://dx.doi.org/10.3768/rtipress.2017.op.0040.1706.

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We present a heuristic control theory model that describes smoking under restricted and unrestricted access to cigarettes. The model is based on the allostasis theory and uses a formal representation of a multiscale opponent process. The model simulates smoking behavior of an individual and produces both short-term (“loading up” after not smoking for a while) and long-term smoking patterns (e.g., gradual transition from a few cigarettes to one pack a day). By introducing a formal representation of withdrawal- and craving-like processes, the model produces gradual increases over time in withdra
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Seidman, Thomas I. Control Theory and Distributed Parameter Systems. Defense Technical Information Center, 1986. http://dx.doi.org/10.21236/ada182808.

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Doyle, John C. Nonlinear Robust Control Theory and Applications. Defense Technical Information Center, 1998. http://dx.doi.org/10.21236/ada367040.

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Doyle, John C. Nonlinear Robust Control Theory and Applications. Defense Technical Information Center, 1997. http://dx.doi.org/10.21236/ada336238.

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Morton, Blaise, and Michael Elgersma. Nonlinear Control Theory for Aerospace Vehicles. Defense Technical Information Center, 1998. http://dx.doi.org/10.21236/ada341388.

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Baillieul, John. Brockettfest: A Conference on Mathematical Control Theory. Defense Technical Information Center, 1999. http://dx.doi.org/10.21236/ada370105.

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