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Mathematical control systems --- Control theory --- Algebras, Linear --- 517.97 --- 519.71 --- #TELE:SISTA --- Calculus of variations. Mathematical theory of control --- Control systems theory: mathematical aspects --- Control theory. --- Algebras, Linear. --- 519.71 Control systems theory: mathematical aspects --- 517.97 Calculus of variations. Mathematical theory of control --- System theory. --- Linear systems. --- Systèmes linéaires. --- Systèmes, Théorie des. --- Commande, Théorie de la. --- Systèmes linéaires. --- Systèmes, Théorie des. --- Commande, Théorie de la.

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Théorie de la commande --- Control theory --- Control theory. --- System theory. --- Linear systems. --- Systèmes linéaires. --- Systèmes, Théorie des. --- Commande, Théorie de la. --- Systèmes linéaires. --- Systèmes, Théorie des. --- Commande, Théorie de la.

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Theorie du controle --- Controle stochastique

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This monograph proposes how to manage complexity by organizing the system as a State Tree Structure (STS). Based on STS, which is an adaptation of statecharts to Supervisory Control Theory, an efficient recursive symbolic algorithm is presented that can perform nonblocking supervisory control design in reasonable time and memory for complex systems. Nonblocking Supervisory Control of State Tree Structures presents how this results in tractable and highly comprehensible controllers, especially to users who are not specialists in Discrete - Event Systems.

Supervisory control systems. --- Discrete-time systems. --- Commande supervisée --- Systèmes échantillonnés --- Engineering. --- Artificial intelligence. --- Systems theory. --- Vibration. --- Control Engineering. --- Vibration, Dynamical Systems, Control. --- Systems Theory, Control. --- Artificial Intelligence (incl. Robotics). --- Supervisory control systems --- Discrete-time systems --- Mechanical Engineering - General --- Mechanical Engineering --- Engineering & Applied Sciences --- DES (System analysis) --- Discrete event systems --- Sampled-data systems --- Control systems, Supervisory --- SCADA systems --- Supervisory control and data acquisition systems --- AI (Artificial intelligence) --- Artificial thinking --- Electronic brains --- Intellectronics --- Intelligence, Artificial --- Intelligent machines --- Machine intelligence --- Thinking, Artificial --- Construction --- System theory. --- Dynamical systems. --- Dynamics. --- Control engineering. --- Robotics. --- Mechatronics. --- Control, Robotics, Mechatronics. --- Cycles --- Mechanics --- Sound --- Bionics --- Cognitive science --- Digital computer simulation --- Electronic data processing --- Logic machines --- Machine theory --- Self-organizing systems --- Simulation methods --- Fifth generation computers --- Neural computers --- Industrial arts --- Technology --- Mechanical engineering --- Microelectronics --- Microelectromechanical systems --- Automation --- Control engineering --- Control equipment --- Control theory --- Engineering instruments --- Programmable controllers --- Dynamical systems --- Kinetics --- Mathematics --- Mechanics, Analytic --- Force and energy --- Physics --- Statics --- Systems, Theory of --- Systems science --- Science --- Philosophy --- Artificial Intelligence. --- Automatic control.

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This book shows how supervisory control theory (SCT) supports the formulation of various control problems of standard types, like the synthesis of controlled dynamic invariants by state feedback, and the resolution of such problems in terms of naturally definable control-theoretic concepts and properties, like reachability, controllability and observability. It exploits a simple, abstract model of controlled discrete-event systems (DES) that has proved to be tractable, appealing to control specialists, and expressive of a range of control-theoretic ideas. It allows readers to choose between automaton-based and dually language-based forms of SCT, depending on whether their preference is for an internal-structural or external-behavioral description of the problem. The monograph begins with two chapters on algebraic and linguistic preliminaries and the fundamental concepts and results of SCT are introduced. To handle complexity caused by system scale, architectural approaches—the horizontal modularity of decentralized and distributed supervision and the vertical modularity of hierarchical supervision—are introduced. Supervisory control under partial observation and state-based supervisory control are also addressed; in the latter, a vector DES model that exploits internal regularity of algebraic structure is proposed. Finally SCT is generalized to deal with timed DES by incorporating temporal features in addition to logical ones. Researchers and graduate students working with the control of discrete-event systems or who are interested in the development of supervisory control methods will find this book an invaluable aid in their studies. The text will also be of assistance to researchers in manufacturing, logistics, communications and transportation, areas which provide plentiful examples of the class of systems being discussed.

Discrete-time systems. --- Systems theory. --- Production management. --- Control and Systems Theory. --- Systems Theory, Control. --- Operations Management. --- Manufacturing management --- Industrial management --- Control engineering. --- System theory. --- Systems, Theory of --- Systems science --- Science --- Control engineering --- Control equipment --- Control theory --- Engineering instruments --- Automation --- Programmable controllers --- Philosophy