Dynamic Programming Optimal Control (137 results)

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paperback. Condition: New. Paperback.Pub Date:2023-07 Pages:106 Language:Chinese Publisher:Cultural Development Press This book introduces the theory of adaptive dynamic programming combined with artificial intelligence and optimal control in detail. and introduces the fruitful theoretical achievements of the optimal control method based on the theory of adaptive dynamic programming. This book analyzes the problems faced by the optimal control of complex systems. such as optimization improvement. control communication .

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Hardback. Condition: Very Good. Dust Jacket Condition: Very Good. First edition. 1st 1971. Very good condition in a very good dustwrapper. Mathematics in Science and Engineering Volume 81. A lucid and intuitively appealing introduction to modern optimal control theory. Burgundy cloth boards, gilt titles. xiv and 252 pages including index. Minor foxing to endpapers and text block. Contents fine. Dustwrapper is scuffed. Packaged with care and promptly dispatched!

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Condition: Sehr gut. Zustand: Sehr gut | Seiten: 252 | Sprache: Englisch | Produktart: Bücher.

Condition: Sehr gut. Zustand: Sehr gut | Seiten: 252 | Sprache: Englisch | Produktart: Bücher.

paperback. Condition: New. Language:Chinese.Paperback.Pub Date:2024-06 Pages:380 Publisher:Tsinghua University Press This book systematically introduces dynamic programming and optimal control. including dynamic programming algorithms. deterministic systems and random shortest path problems. deterministic continuous-time optimal control. problems with complete state information. problems with missing state information. suboptimal and adaptive control. infinite stage problems. etc.

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Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book covers the most recent developments in adaptive dynamic programming (ADP). The text begins with a thorough background review of ADP making sure that readers are sufficiently familiar with the fundamentals. In the core of the book, the authors address first discrete- and then continuous-time systems. Coverage of discrete-time systems starts with a more general form of value iteration to demonstrate its convergence, optimality, and stability with complete and thorough theoretical analysis. A more realistic form of value iteration is studied where value function approximations are assumed to have finite errors. Adaptive Dynamic Programming also details another avenue of the ADP approach: policy iteration. Both basic and generalized forms of policy-iteration-based ADP are studied with complete and thorough theoretical analysis in terms of convergence, optimality, stability, and error bounds. Among continuous-time systems, the control of affine and nonaffine nonlinear systems is studied using the ADP approach which is then extended to other branches of control theory including decentralized control, robust and guaranteed cost control, and game theory. In the last part of the book the real-world significance of ADP theory is presented, focusing on three application examples developed from the authors' work:- renewable energy scheduling for smart power grids;- coal gasification processes; and- water-gas shift reactions.Researchers studying intelligent control methods and practitioners looking to apply them in the chemical-process and power-supply industries will find much to interest them in this thorough treatment of an advanced approach to control.

Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book covers the most recent developments in adaptive dynamic programming (ADP). The text begins with a thorough background review of ADP making sure that readers are sufficiently familiar with the fundamentals. In the core of the book, the authors address first discrete- and then continuous-time systems. Coverage of discrete-time systems starts with a more general form of value iteration to demonstrate its convergence, optimality, and stability with complete and thorough theoretical analysis. A more realistic form of value iteration is studied where value function approximations are assumed to have finite errors. Adaptive Dynamic Programming also details another avenue of the ADP approach: policy iteration. Both basic and generalized forms of policy-iteration-based ADP are studied with complete and thorough theoretical analysis in terms of convergence, optimality, stability, and error bounds. Among continuous-time systems, the control of affine and nonaffine nonlinear systems is studied using the ADP approach which is then extended to other branches of control theory including decentralized control, robust and guaranteed cost control, and game theory. In the last part of the book the real-world significance of ADP theory is presented, focusing on three application examples developed from the authors' work:- renewable energy scheduling for smart power grids;- coal gasification processes; and- water-gas shift reactions.Researchers studying intelligent control methods and practitioners looking to apply them in the chemical-process and power-supply industries will find much to interest them in this thorough treatment of an advanced approach to control.

Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - Providing an introduction to stochastic optimal control in infinite dimension, this book gives a complete account of the theory of second-order HJB equations in infinite-dimensional Hilbert spaces, focusing on its applicability to associated stochastic optimal control problems. It features a general introduction to optimal stochastic control, including basic results (e.g. the dynamic programming principle) with proofs, and provides examples of applications. A complete and up-to-date exposition of the existing theory of viscosity solutions and regular solutions of second-order HJB equations in Hilbert spaces is given, together with an extensive survey of other methods, with a full bibliography. In particular, Chapter 6, written by M. Fuhrman and G. Tessitore, surveys the theory of regular solutions of HJB equations arising in infinite-dimensional stochastic control, via BSDEs. The book is of interest to both pure and applied researchers working in the control theory of stochastic PDEs,and in PDEs in infinite dimension. Readers from other fields who want to learn the basic theory will also find it useful. The prerequisites are: standard functional analysis, the theory of semigroups of operators and its use in the study of PDEs, some knowledge of the dynamic programming approach to stochastic optimal control problems in finite dimension, and the basics of stochastic analysis and stochastic equations in infinite-dimensional spaces.

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paperback. Condition: New. Intelligent optimal control based on adaptive dynamic programming.

Condition: Neu. 1. Auflage, 182 S. Taschenbuch. xxx RARE BOOK xxx NEW BOOK xxx Ungelesenes TOP Exemplar. Auch als Geschenk geeignet xxx TRITA-EECS-AVL-2023:15 kth.se xxx Sprache: Englisch.

Hardcover. Condition: New. HardCover. Pub Date: 2017-11-01 Pages: 230 Language: English Publisher: science press. Beijing. the self-learning optimal control of nonlinear systems: adaptive dynamic programming method (English version) presents a class of will. the self - learning. optimal.

paperback. Condition: New. Paperback. Pub Date: 2021-02-01 Pages: 491 Language: Chinese Publisher: Tsinghua University Press Dynamic Programming and Optimal Control-Approximate Dynamic Programming (Volume ) A systematic introduction to dynamic programming. especially approximate dynamics Planning includes the theory and calculation method of discount problem. random shortest path problem. no discount problem. average cost problem. approximate dynamic programming of discount and no discount problem. etc.?Contents: Chapt.