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Adaptive control systems --- Mathematical control systems --- Animal physiology. Animal biophysics --- Artificial intelligence. Robotics. Simulation. Graphics --- Adaptation (Biology) --- Mathematical models --- Adaptive control systems - Mathematical models --- Adaptation (Biology) - Mathematical models
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The aim of this work is to present a unified approach to the modern field of control theory and to provide a technique for making problems involving deterministic, stochastic, and adaptive processes of both linear and nonlinear type amenable to machine solution. Mr. Bellman has used the theory of dynamic programming to formulate, analyze, and prepare these processes for numerical treatment by digital computers. The unique concept of the book is that of a single problem stretching from recognition and formulation to analytic treatment and computational solution. Due to the emphasis upon ideas and concepts, this book is equally suited for the pure and applied mathematician, and for control engineers in all fields.Originally published in 1961.The Princeton Legacy Library uses the latest print-on-demand technology to again make available previously out-of-print books from the distinguished backlist of Princeton University Press. These editions preserve the original texts of these important books while presenting them in durable paperback and hardcover editions. The goal of the Princeton Legacy Library is to vastly increase access to the rich scholarly heritage found in the thousands of books published by Princeton University Press since its founding in 1905.
Programming (Mathematics) --- Adaptive control systems --- Decision making --- Self-adaptive control systems --- Artificial intelligence --- Feedback control systems --- Self-organizing systems --- Mathematical programming --- Goal programming --- Algorithms --- Functional equations --- Mathematical optimization --- Operations research --- Mathematical models. --- Decision Making --- Mathematical models --- Feedback control systems - Mathematical models --- Adaptive control systems - Mathematical models --- Decision Making - Mathematical models
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DSU Title III 2007-2012.
Adaptation (Biology) --- Adaptive control systems --- Mathematical models. --- Systèmes adaptatifs --- Systèmes adaptatifs --- Mathematical models --- Modèles mathématiques --- Self-adaptive control systems --- Environment --- Artificial intelligence --- Feedback control systems --- Self-organizing systems --- Biology --- Variation (Biology) --- Biological fitness --- Genetics --- Environmental adaptation --- Adaptation, Environmental --- Organisms --- Adaptation --- Related to --- Systems --- Design --- COMPUTER SCIENCE/General --- COMPUTER SCIENCE/Machine Learning & Neural Networks --- Adaptation (biology)-mathematical models --- Adaptive control systems mathematical models
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Adaptive control systems --- Mathematical models. --- Systèmes adaptatifs --- -Self-adaptive control systems --- Systèmes adaptatifs --- 681.5 --- 681.5 Automatic control engineering. Control systems, techniques, equipment. Cybernetic and automation technology --- Automatic control engineering. Control systems, techniques, equipment. Cybernetic and automation technology --- Self-adaptive control systems --- Artificial intelligence --- Feedback control systems --- Self-organizing systems --- Mathematical models --- Modèles mathématiques --- Adaptive control systems - Mathematical models --- Asservissement --- Controle automatique
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Control theory --- Adaptive control systems --- Decision making --- Dynamic programming --- Théorie de la commande --- Systèmes adaptatifs --- Prise de décision --- Programmation dynamique --- Mathematical models --- Modèles mathématiques --- 517.97 --- -Control theory --- -Deciding --- Decision (Psychology) --- Decision analysis --- Decision processes --- Making decisions --- Management --- Management decisions --- Choice (Psychology) --- Problem solving --- Mathematical optimization --- Programming (Mathematics) --- Systems engineering --- Dynamics --- Machine theory --- Self-adaptive control systems --- Artificial intelligence --- Feedback control systems --- Self-organizing systems --- Calculus of variations. Mathematical theory of control --- Control theory. --- Dynamic programming. --- Mathematical models. --- -Calculus of variations. Mathematical theory of control --- 517.97 Calculus of variations. Mathematical theory of control --- -517.97 Calculus of variations. Mathematical theory of control --- Deciding --- Théorie de la commande --- Systèmes adaptatifs --- Prise de décision --- Modèles mathématiques --- Decision making - Mathematical models --- Adaptive control systems - Mathematical models --- Theorie du controle --- Controle adaptatif
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Some of the most common dynamic phenomena that arise in engineering practice—actuator and sensor delays—fall outside the scope of standard finite-dimensional system theory. The first attempt at infinite-dimensional feedback design in the field of control systems—the Smith predictor—has remained limited to linear finite-dimensional plants over the last five decades. Shedding light on new opportunities in predictor feedback, this book significantly broadens the set of techniques available to a mathematician or engineer working on delay systems. The book is a collection of tools and techniques that make predictor feedback ideas applicable to nonlinear systems, systems modeled by PDEs, systems with highly uncertain or completely unknown input/output delays, and systems whose actuator or sensor dynamics are modeled by more general hyperbolic or parabolic PDEs, rather than by pure delay. Specific features and topics include: * A construction of explicit Lyapunov functionals, which can be used in control design or stability analysis, leading to a resolution of several long-standing problems in predictor feedback. * A detailed treatment of individual classes of problems—nonlinear ODEs, parabolic PDEs, first-order hyperbolic PDEs, second-order hyperbolic PDEs, known time-varying delays, unknown constant delays—will help the reader master the techniques presented. * Numerous examples ease a student new to delay systems into the topic. * Minimal prerequisites: the basics of function spaces and Lyapunov theory for ODEs. * The basics of Poincaré and Agmon inequalities, Lyapunov and input-to-state stability, parameter projection for adaptive control, and Bessel functions are summarized in appendices for the reader’s convenience. Delay Compensation for Nonlinear, Adaptive, and PDE Systems is an excellent reference for graduate students, researchers, and practitioners in mathematics, systems control, as well as chemical, mechanical, electrical, computer, aerospace, and civil/structural engineering. Parts of the book may be used in graduate courses on general distributed parameter systems, linear delay systems, PDEs, nonlinear control, state estimator and observers, adaptive control, robust control, or linear time-varying systems.
Delay lines. --- Feedback control systems. --- Nonlinear systems. --- Systems engineering. --- Feedback control systems --- Nonlinear systems --- Delay lines --- Adaptive control systems --- Civil & Environmental Engineering --- Mechanical Engineering --- Operations Research --- Mechanical Engineering - General --- Engineering & Applied Sciences --- Mathematical models --- Adaptive control systems. --- Mathematical models. --- Systems, Nonlinear --- Feedback mechanisms --- Feedback systems --- Self-adaptive control systems --- Mathematics. --- Differential equations. --- Partial differential equations. --- Applied mathematics. --- Engineering mathematics. --- System theory. --- Mechanical engineering. --- Control engineering. --- Applications of Mathematics. --- Systems Theory, Control. --- Control. --- Partial Differential Equations. --- Ordinary Differential Equations. --- Mechanical Engineering. --- System theory --- Automatic control --- Automation --- Discrete-time systems --- Feedforward control systems --- Artificial intelligence --- Self-organizing systems --- Systems theory. --- Differential equations, partial. --- Differential Equations. --- Control and Systems Theory. --- Engineering, Mechanical --- Engineering --- Machinery --- Steam engineering --- 517.91 Differential equations --- Differential equations --- Partial differential equations --- Math --- Science --- Control engineering --- Control equipment --- Control theory --- Engineering instruments --- Programmable controllers --- Systems, Theory of --- Systems science --- Engineering analysis --- Mathematical analysis --- Philosophy --- Mathematics --- Feedback control systems - Mathematical models --- Adaptive control systems - Mathematical models
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Discontinuous control systems are one of the most important and oldest types of nonlinear systems; however, the available methods of analysis of their input-output properties are based on the approximate describing function method, which narrows the application of existing techniques to systems having good low-pass filtering properties. This book provides new insight on the problem of closed-loop performance and oscillations in discontinuous control systems, covering the class of systems that do not necessarily have low-pass filtering properties. The author provides a practical, yet rigorous and exact approach to analysis and design of discontinuous control systems via application of a novel frequency-domain tool: the locus of a perturbed relay system (LPRS). LPRS theory is presented in detail beginning with basic concepts and progressing to computing formulas, algorithms, and MATLAB® code. As a result of LPRS properties such as exactness, simplicity, and convenience, many problems of analysis and design of discontinuous systems are solved easily by using the theory described. Presented are a number of practical examples applying the theory to analysis and design of discontinuous control systems from various branches of engineering, including electro-mechanical systems, process control, and electronics. A few chapters of the book are devoted to frequency-domain theory of sliding mode control, which is presented as a special type of discontinuous control. LPRS analysis of the effects of chattering and nonideal closed-loop performance in sliding mode systems having parasitic dynamics, as well as the relationship of those effects with the ideal sliding mode, are given. Discontinuous Control Systems is intended for readers who have knowledge of linear control theory and will be of interest to graduate students, researchers, and practicing engineers involved in systems analysis and design.
Adaptive control systems -- Mathematical models. --- Frequencies of oscillating systems. --- Nonlinear control theory. --- Stability. --- Nonlinear control theory --- Frequencies of oscillating systems --- Civil & Environmental Engineering --- Engineering & Applied Sciences --- Operations Research --- Frequencies of vibrating systems --- Frequency analysis (Dynamics) --- Frequency of oscillation --- Frequency of vibration --- Vibration frequencies --- Engineering. --- System theory. --- Vibration. --- Dynamical systems. --- Dynamics. --- Engineering design. --- Control engineering. --- Robotics. --- Mechatronics. --- Industrial engineering. --- Production engineering. --- Control. --- Control, Robotics, Mechatronics. --- Systems Theory, Control. --- Vibration, Dynamical Systems, Control. --- Engineering Design. --- Industrial and Production Engineering. --- Control theory --- Nonlinear theories --- Oscillations --- Vibration --- Systems theory. --- Control and Systems Theory. --- Management engineering --- Simplification in industry --- Engineering --- Value analysis (Cost control) --- Design, Engineering --- Industrial design --- Strains and stresses --- Cycles --- Mechanics --- Sound --- Design --- Manufacturing engineering --- Process engineering --- Industrial engineering --- Mechanical engineering --- Dynamical systems --- Kinetics --- Mathematics --- Mechanics, Analytic --- Force and energy --- Physics --- Statics --- Systems, Theory of --- Systems science --- Science --- Microelectronics --- Microelectromechanical systems --- Automation --- Machine theory --- Control engineering --- Control equipment --- Engineering instruments --- Programmable controllers --- Philosophy
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