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Relevant bibliographies by topics / Control (theory of systems and control)

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Academic literature on the topic 'Control (theory of systems and control)'

Author: Grafiati

Published: 4 June 2021

Last updated: 5 February 2022

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Journal articles on the topic "Control (theory of systems and control)"

1

James, M. R. "Optimal Quantum Control Theory." Annual Review of Control, Robotics, and Autonomous Systems 4, no. 1 (May 3, 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 (May 28, 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 specific control theory topics where game theory has played a significant role: ( a) zero-sum games, in which the two competing players are a controller and an adversarial environment; ( b) team games, in which several controllers pursue a common goal but have access to different information; and ( c) distributed control, in which both a game and online adaptive rules are designed to enable distributed interacting subsystems to achieve a collective objective.

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van der Schaft, Arjan. "Port-Hamiltonian Modeling for Control." Annual Review of Control, Robotics, and Autonomous Systems 3, no. 1 (May 3, 2020): 393–416. http://dx.doi.org/10.1146/annurev-control-081219-092250.

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This article provides a concise summary of the basic ideas and concepts in port-Hamiltonian systems theory and its use in analysis and control of complex multiphysics systems. It gives special attention to new and unexplored research directions and relations with other mathematical frameworks. Emergent control paradigms and open problems are indicated, including the relation with thermodynamics and the question of uniting the energy-processing view of control, as emphasized by port-Hamiltonian systems theory, with a complementary information-processing viewpoint.

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Ros, Javier, Alberto Casas, Jasiel Najera, and Isidro Zabalza. "64048 QUANTITATIVE FEEDBACK THEORY CONTROL OF A HEXAGLIDE TYPE PARALLEL MANIPULATOR(Control of Multibody Systems)." Proceedings of the Asian Conference on Multibody Dynamics 2010.5 (2010): _64048–1_—_64048–10_. http://dx.doi.org/10.1299/jsmeacmd.2010.5._64048-1_.

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Chen, Can, Amit Surana, Anthony M. Bloch, and Indika Rajapakse. "Multilinear Control Systems Theory." SIAM Journal on Control and Optimization 59, no. 1 (January 2021): 749–76. http://dx.doi.org/10.1137/19m1262589.

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Madhav, Manu S., and Noah J. Cowan. "The Synergy Between Neuroscience and Control Theory: The Nervous System as Inspiration for Hard Control Challenges." Annual Review of Control, Robotics, and Autonomous Systems 3, no. 1 (May 3, 2020): 243–67. http://dx.doi.org/10.1146/annurev-control-060117-104856.

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Here, we review the role of control theory in modeling neural control systems through a top-down analysis approach. Specifically, we examine the role of the brain and central nervous system as the controller in the organism, connected to but isolated from the rest of the animal through insulated interfaces. Though biological and engineering control systems operate on similar principles, they differ in several critical features, which makes drawing inspiration from biology for engineering controllers challenging but worthwhile. We also outline a procedure that the control theorist can use to draw inspiration from the biological controller: starting from the intact, behaving animal; designing experiments to deconstruct and model hierarchies of feedback; modifying feedback topologies; perturbing inputs and plant dynamics; using the resultant outputs to perform system identification; and tuning and validating the resultant control-theoretic model using specially engineered robophysical models.

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Junge, Oliver, and Jan Lunze. "Control Theory of Networked Systems." at - Automatisierungstechnik 61, no. 7 (July 2013): 455–56. http://dx.doi.org/10.1524/auto.2013.9007.

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Li, Fuhuo. "Control Systems and Number Theory." International Journal of Mathematics and Mathematical Sciences 2012 (2012): 1–28. http://dx.doi.org/10.1155/2012/508721.

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We try to pave a smooth road to a proper understanding of control problems in terms of mathematical disciplines, and partially show how to number-theorize some practical problems. Our primary concern is linear systems from the point of view of our principle of visualization of the state, an interface between the past and the present. We view all the systems as embedded in the state equation, thus visualizing the state. Then we go on to treat the chain-scattering representation of the plant of Kimura 1997, which includes the feedback connection in a natural way, and we consider theH∞-control problem in this framework. We may view in particular the unit feedback system as accommodated in the chain-scattering representation, giving a better insight into the structure of the system. Its homographic transformation works as the action of the symplectic group on the Siegel upper half-space in the case of constant matrices. Both ofH∞- and PID-controllers are applied successfully in the EV control by J.-Y. Cao and B.-G. Cao 2006 and Cao et al. 2007, which we may unify in our framework. Finally, we mention some similarities between control theory and zeta-functions.

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Trentelman, HL, AA Stoorvogel, M. Hautus, and L. Dewell. "Control Theory for Linear Systems." Applied Mechanics Reviews 55, no. 5 (September 1, 2002): B87. http://dx.doi.org/10.1115/1.1497472.

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Schweizer, Jörg, and Michael Peter Kennedy. "Predictive Poincaré control: A control theory for chaotic systems." Physical Review E 52, no. 5 (November 1, 1995): 4865–76. http://dx.doi.org/10.1103/physreve.52.4865.

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Dissertations / Theses on the topic "Control (theory of systems and control)"

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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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Schirmer, Sonja G. "Theory of control of quantum systems /." view abstract or download file of text, 2000. http://wwwlib.umi.com/cr/uoregon/fullcit?p9963453.

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Thesis (Ph. D.)--University of Oregon, 2000.
Typescript. Includes vita and abstract. Includes bibliographical references (leaves 98-99). Also available for download via the World Wide Web; free to University of Oregon users. Address: http://wwwlib.umi.com/cr/uoregon/fullcit?p9963453.

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Kalogeropoulos, G. E. "Matrix pencils and linear systems theory." Thesis, City University London, 1985. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.355580.

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Ginsberg, David W. "Variable structure control systems." Master's thesis, University of Cape Town, 1989. http://hdl.handle.net/11427/18787.

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The primary aims of this thesis, is to provide a body of knowledge on variable structure system theory and to apply the developed design concepts to control practical systems. It introduces the concept of a structure. The main aim in designing variable structure controllers, is to synthesize a variable structure system from two or more single structure systems, in such a way that the ensuing system out-performs its component structures. When a sliding mode is defined, the ensuing closed loop behaviour of the system is invariant to plant parameter changes and external disturbances. A variable structure controller was designed for a servo motor and successfully applied to the system. In practice, the phase plane representative point does not slide at infinite frequency with infinitesimal amplitude along the switching surface(s). Thus, the concept of a quasi-sliding regime was introduced. For high performance system specifications, the phase plane representative point could cycle about the origin. In some instances, sliding could be lost. For high speed applications, a novel design modification ensured that the system did not lose sliding. In addition, the controller could track a rapidly changing set point. Successful results support the developed theory.

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Michalska, Hannah. "Design of nonlinear control systems : theory and algorithms." Thesis, Imperial College London, 1989. http://hdl.handle.net/10044/1/8179.

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Abou, El-Nasr Mohamad. "Timing control of manufacturing systems an optimal control perspective." Diss., Georgia Institute of Technology, 2003. http://hdl.handle.net/1853/14847.

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Ahmad, Farooq. "An expert system for computer-aided design of control systems." Thesis, University of Strathclyde, 1991. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.357165.

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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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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.

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O'Shea, Gregory Francis Gerard. "Access control in operating systems." Thesis, Birkbeck (University of London), 1998. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.301025.

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Wang, Liuping. "Robustness of adaptive control systems." Thesis, University of Sheffield, 1988. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.292602.

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Books on the topic "Control (theory of systems and control)"

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Anderson, Patrick. Control systems: Classical controls. Delhi: Global Media, 2009.

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Caldwell, Raymond. Control systems. Tonbridge: Hands On, 1997.

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K, Sinha N. Control systems. New York: Holt, Rinehart and Winston, 1986.

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K, Sinha N. Control systems. 2nd ed. New York: Wiley & Sons, 1994.

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K, Sinha N. Control systems. New York: CBS Publishing, 1986.

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

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

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Jagan, N. C. Control systems. 2nd ed. Hyderabad: BS Publications, 2008.

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9

L, Melsa James, Schultz Donald G, and Melsa James L, eds. Linear control systems. New York: McGraw-Hill, 1993.

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Control systems engineering. New York: Wiley, 1986.

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Book chapters on the topic "Control (theory of systems and control)"

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Taha, Walid M., Abd-Elhamid M. Taha, and Johan Thunberg. "Control Theory." In Cyber-Physical Systems: A Model-Based Approach, 57–78. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-36071-9_4.

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Zabczyk, Jerzy. "Linear control systems." In Mathematical Control Theory, 176–205. Boston, MA: Birkhäuser Boston, 2008. http://dx.doi.org/10.1007/978-0-8176-4733-9_13.

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Kisačanin, Branislav, and Gyan C. Agarwal. "Modern control theory." In Linear Control Systems, 23–70. Boston, MA: Springer US, 2001. http://dx.doi.org/10.1007/978-1-4615-0553-2_2.

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Zabczyk, Jerzy. "Systems with constraints." In Mathematical Control Theory, 62–72. Boston, MA: Birkhäuser Boston, 2008. http://dx.doi.org/10.1007/978-0-8176-4733-9_5.

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Pommaret, J. F. "Linear Control Systems." In Partial Differential Control Theory, 567–786. Dordrecht: Springer Netherlands, 2001. http://dx.doi.org/10.1007/978-94-010-0854-9_6.

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Pommaret, J. F. "Nonlinear Control Systems." In Partial Differential Control Theory, 787–937. Dordrecht: Springer Netherlands, 2001. http://dx.doi.org/10.1007/978-94-010-0854-9_7.

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Saavedra, Emma, and Rafael Moreno-Sánchez. "Metabolic Control Theory." In Encyclopedia of Systems Biology, 1239–43. New York, NY: Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4419-9863-7_1161.

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Dekkers, Rob. "Control of Processes." In Applied Systems Theory, 145–72. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-57526-1_6.

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Dekkers, Rob. "Control of Processes." In Applied Systems Theory, 103–29. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-10846-9_5.

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Elliott, David L. "Symmetric Systems: Lie Theory." In Bilinear Control Systems, 33–82. Dordrecht: Springer Netherlands, 2009. http://dx.doi.org/10.1023/b101451_2.

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Conference papers on the topic "Control (theory of systems and control)"

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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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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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"Systems theory and control." In 2011 IEEE International Conference on Industrial Technology (ICIT 2011). IEEE, 2011. http://dx.doi.org/10.1109/icit.2011.5754337.

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"Systems theory and control." In 2011 IEEE 43rd Southeastern Symposium on System Theory (SSST 2011). IEEE, 2011. http://dx.doi.org/10.1109/ssst.2011.5753766.

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Araiza-Illan, Dejanira, Kerstin Eder, and Arthur Richards. "Formal verification of control systems' properties with theorem proving." In 2014 UKACC International Conference on Control (CONTROL). IEEE, 2014. http://dx.doi.org/10.1109/control.2014.6915147.

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Njabeleke, I. A. "Transformation theory in the modelling of nonlinear systems." In UKACC International Conference on Control. Control '96. IEE, 1996. http://dx.doi.org/10.1049/cp:19960611.

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"Session 5: System theory and control theory." In 2010 International Conference on Intelligent Computing and Integrated Systems (ICISS). IEEE, 2010. http://dx.doi.org/10.1109/iciss.2010.5656954.

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Schwarzschild, Renee, and Eduardo D. Sontag. "Algebraic theory of sign-linear systems." In 1991 American Control Conference. IEEE, 1991. http://dx.doi.org/10.23919/acc.1991.4791483.

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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 skill set of the students and the difference between the actual and desired skill set (error signal) is fed back to the professor to initiate curricular changes. This model is shown to be applicable at various levels. At the micro level, examinations within a course are used to optimize that course. At the intermediate level, a PBL course is used as the sensor for a conventional lecture-based course. At the macro level, the departmental program as a whole is matched to the needs of industry in pursuit of a 100% employment rate of its students.

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Arimoto, S., S. Kawamura, F. Miyazaki, and S. Tamaki. "Learning control theory for dynamical systems." In 1985 24th IEEE Conference on Decision and Control. IEEE, 1985. http://dx.doi.org/10.1109/cdc.1985.268737.

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Reports on the topic "Control (theory of systems and control)"

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Seidman, Thomas I. Control Theory and Distributed Parameter Systems. Fort Belvoir, VA: Defense Technical Information Center, January 1986. http://dx.doi.org/10.21236/ada182808.

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Baillieul, J. The Nonlinear Control Theory of Complex Mechanical Systems. Fort Belvoir, VA: Defense Technical Information Center, April 1996. http://dx.doi.org/10.21236/ada310012.

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Shoults, Hugh D. Organizational Systems Theory and Command and Control Concepts. Fort Belvoir, VA: Defense Technical Information Center, March 2013. http://dx.doi.org/10.21236/ada589438.

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Baillieul, John. The Nonlinear Control Theory of Complex Mechanical Systems. Fort Belvoir, VA: Defense Technical Information Center, April 1998. http://dx.doi.org/10.21236/ada342742.

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Sontag, Eduardo. Dynamical Systems and Control Theory Inspired by Molecular Biology. Fort Belvoir, VA: Defense Technical Information Center, February 2011. http://dx.doi.org/10.21236/ada549208.

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Speer, Eugene R. (DURIP) Computer Simulations of Plasmas, Nonlinear Systems and Control Theory. Fort Belvoir, VA: Defense Technical Information Center, November 1989. http://dx.doi.org/10.21236/ada219070.

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Teel, Andrew R., and Joao P. Hespanha. A Robust Stability and Control Theory for Hybrid Dynamical Systems. Fort Belvoir, VA: Defense Technical Information Center, September 2006. http://dx.doi.org/10.21236/ada470821.

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Scheinker, Alexander. Introduction to Control Theory. Part 2. Laplace Transforms and Linear Systems. Office of Scientific and Technical Information (OSTI), September 2015. http://dx.doi.org/10.2172/1214624.

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Campbell, Stephen L., and William J. Terrell. Derivative Arrays, Geometric Control Theory, and Realizations of Linear Descriptor Systems. Fort Belvoir, VA: Defense Technical Information Center, November 1987. http://dx.doi.org/10.21236/ada190882.

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Watson, Layne T. Theory and Application of Homotopy Techniques in Nonlinear Programming and Control Systems. Fort Belvoir, VA: Defense Technical Information Center, April 1995. http://dx.doi.org/10.21236/ada294934.

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