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Control theory --- System analysis --- Théorie de la commande --- Analyse de systèmes --- System Analysis --- 519.71 --- Network theory --- Systems analysis --- System theory --- Mathematical optimization --- Dynamics --- Machine theory --- Control systems theory: mathematical aspects --- Control theory. --- System analysis. --- 519.71 Control systems theory: mathematical aspects --- Théorie de la commande --- Analyse de systèmes --- Network analysis --- Network science
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Discrete-time systems --- #KVIV --- Discrete-time systems. --- Polynomials. --- Power series.
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This reference book documents the scientific outcome of the DIMACS/SYCON Workshop on Verification and Control of Hybrid Systems, held at Rutgers University in New Brunswick, NJ, in October 1995. A hybrid system consists of digital devices that interact with analog environments. Computer science contributes expertise on the analog aspects of this emerging field of interdisciplinary research and design. The 48 revised full papers included were strictly refereed; they present the state of the art in this dynamic field with contributions by leading experts. Also available are the predecessor volumes published in the same series as LNCS 999 and LNCS 736.
Digital control systems --- Hybrid computers --- Commande numérique --- Calculateurs hybrides --- Congresses --- Congrès --- Commande numérique --- Congrès --- Computer science. --- Information theory. --- Computer network architectures. --- Software engineering. --- Logic design. --- Processor Architectures. --- Theory of Computation. --- Computer System Implementation. --- Special Purpose and Application-Based Systems. --- Software Engineering. --- Logics and Meanings of Programs. --- Design, Logic --- Design of logic systems --- Digital electronics --- Electronic circuit design --- Logic circuits --- Machine theory --- Switching theory --- Computer software engineering --- Engineering --- Architectures, Computer network --- Network architectures, Computer --- Computer architecture --- Communication theory --- Communication --- Cybernetics --- Informatics --- Science --- Hybrid computers - Congresses --- Digital control systems - Congresses
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System and Control theory is one of the most exciting areas of contemporary engineering mathematics. From the analysis of Watt's steam engine governor - which enabled the Industrial Revolution - to the design of controllers for consumer items, chemical plants and modern aircraft, the area has always drawn from a broad range of tools. It has provided many challenges and possibilities for interaction between engineering and established areas of 'pure' and 'applied' mathematics. This impressive volume collects a discussion of more than fifty open problems which touch upon a variety of subfields, including: chaotic observers, nonlinear local controlability, discrete event and hybrid systems, neural network learning, matrix inequalities, Lyapunov exponents, and many other issues. Proposed and explained by leading researchers, they are offered with the intention of generating further work, as well as inspiration for many other similar problems which may naturally arise from them. With extensive references, this book will be a useful reference source - as well as an excellent addendum to the textbooks in the area.
System analysis. --- Control theory. --- Analyse de systèmes --- Théorie de la commande --- Mathematics --- Mathématiques --- Problems, exercises, etc. --- Problèmes et exercices. --- Control engineering. --- Robotics. --- Mechatronics. --- Control, Robotics, Mechatronics. --- Mechanical engineering --- Microelectronics --- Microelectromechanical systems --- Automation --- Machine theory --- Control engineering --- Control equipment --- Control theory --- Engineering instruments --- Programmable controllers --- Dynamics --- Systèmes, Théorie des --- Systèmes, Théorie des --- Problèmes et exercices. --- Theorie du controle
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The lectures gathered in this volume present some of the different aspects of Mathematical Control Theory. Adopting the point of view of Geometric Control Theory and of Nonlinear Control Theory, the lectures focus on some aspects of the Optimization and Control of nonlinear, not necessarily smooth, dynamical systems. Specifically, three of the five lectures discuss respectively: logic-based switching control, sliding mode control and the input to the state stability paradigm for the control and stability of nonlinear systems. The remaining two lectures are devoted to Optimal Control: one investigates the connections between Optimal Control Theory, Dynamical Systems and Differential Geometry, while the second presents a very general version, in a non-smooth context, of the Pontryagin Maximum Principle. The arguments of the whole volume are self-contained and are directed to everyone working in Control Theory. They offer a sound presentation of the methods employed in the control and optimization of nonlinear dynamical systems.
Nonlinear control theory. --- Mathematical optimization. --- Optimization (Mathematics) --- Optimization techniques --- Optimization theory --- Systems optimization --- Mathematical analysis --- Maxima and minima --- Operations research --- Simulation methods --- System analysis --- Control theory --- Nonlinear theories --- Systems theory. --- Global differential geometry. --- Differentiable dynamical systems. --- Systems Theory, Control. --- Calculus of Variations and Optimal Control; Optimization. --- Differential Geometry. --- Dynamical Systems and Ergodic Theory. --- System theory. --- Systems, Theory of --- Systems science --- Science --- Differential dynamical systems --- Dynamical systems, Differentiable --- Dynamics, Differentiable --- Differential equations --- Global analysis (Mathematics) --- Topological dynamics --- Geometry, Differential --- Philosophy --- Calculus of variations. --- Differential geometry. --- Dynamics. --- Ergodic theory. --- Ergodic transformations --- Continuous groups --- Mathematical physics --- Measure theory --- Transformations (Mathematics) --- Dynamical systems --- Kinetics --- Mathematics --- Mechanics, Analytic --- Force and energy --- Mechanics --- Physics --- Statics --- Differential geometry --- Isoperimetrical problems --- Variations, Calculus of
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The lectures gathered in this volume present some of the different aspects of Mathematical Control Theory. Adopting the point of view of Geometric Control Theory and of Nonlinear Control Theory, the lectures focus on some aspects of the Optimization and Control of nonlinear, not necessarily smooth, dynamical systems. Specifically, three of the five lectures discuss respectively: logic-based switching control, sliding mode control and the input to the state stability paradigm for the control and stability of nonlinear systems. The remaining two lectures are devoted to Optimal Control: one investigates the connections between Optimal Control Theory, Dynamical Systems and Differential Geometry, while the second presents a very general version, in a non-smooth context, of the Pontryagin Maximum Principle. The arguments of the whole volume are self-contained and are directed to everyone working in Control Theory. They offer a sound presentation of the methods employed in the control and optimization of nonlinear dynamical systems.
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