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Self-Learning Optimal Control of Nonlinear Systems (Paperback)
Published by Springer Verlag, Singapore, Singapore, 2019
ISBN 10: 9811350434 ISBN 13: 9789811350436
Language: English
Paperback. Condition: new. Paperback. This book presents a class of novel, self-learning, optimal control schemes based on adaptive dynamic programming techniques, which quantitatively obtain the optimal control schemes of the systems. It analyzes the properties identified by the programming methods, including the convergence of the iterative value functions and the stability of the system under iterative control laws, helping to guarantee the effectiveness of the methods developed. When the system model is known, self-learning optimal control is designed on the basis of the system model; when the system model is not known, adaptive dynamic programming is implemented according to the system data, effectively making the performance of the system converge to the optimum.With various real-world examples to complement and substantiate the mathematical analysis, the book is a valuable guide for engineers, researchers, and students in control science and engineering. This book presents a class of novel, self-learning, optimal control schemes based on adaptive dynamic programming techniques, which quantitatively obtain the optimal control schemes of the systems. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Condition: New.
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Condition: New.
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Self-Learning Optimal Control of Nonlinear Systems (Hardcover)
Published by Springer Verlag, Singapore, Singapore, 2017
ISBN 10: 9811040796 ISBN 13: 9789811040795
Language: English
First Edition
Hardcover. Condition: new. Hardcover. This book presents a class of novel, self-learning, optimal control schemes based on adaptive dynamic programming techniques, which quantitatively obtain the optimal control schemes of the systems. It analyzes the properties identified by the programming methods, including the convergence of the iterative value functions and the stability of the system under iterative control laws, helping to guarantee the effectiveness of the methods developed. When the system model is known, self-learning optimal control is designed on the basis of the system model; when the system model is not known, adaptive dynamic programming is implemented according to the system data, effectively making the performance of the system converge to the optimum.With various real-world examples to complement and substantiate the mathematical analysis, the book is a valuable guide for engineers, researchers, and students in control science and engineering. This book presents a class of novel, self-learning, optimal control schemes based on adaptive dynamic programming techniques, which quantitatively obtain the optimal control schemes of the systems. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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US$ 168.16
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Self-Learning Optimal Control of Nonlinear Systems (Studies in Systems, Decision and Control, 103)
Seller: Ria Christie Collections, Uxbridge, United Kingdom
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US$ 170.50
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Self-Learning Optimal Control of Nonlinear Systems: Adaptive Dynamic Programming Approach (Studies in Systems, Decision and Control, 103)
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US$ 176.94
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Self-Learning Optimal Control of Nonlinear Systems : Adaptive Dynamic Programming Approach
Published by Springer Nature Singapore, 2019
ISBN 10: 9811350434 ISBN 13: 9789811350436
Language: English
US$ 98.20
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Add to basketCondition: Sehr gut. Zustand: Sehr gut | Sprache: Englisch | Produktart: Bücher.
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Self-Learning Optimal Control of Nonlinear Systems : Adaptive Dynamic Programming Approach
Published by Springer Nature Singapore, 2017
ISBN 10: 9811040796 ISBN 13: 9789811040795
Language: English
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Self-Learning Optimal Control of Nonlinear Systems : Adaptive Dynamic Programming Approach
Published by Springer Nature Singapore, 2017
ISBN 10: 9811040796 ISBN 13: 9789811040795
Language: English
US$ 101.25
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Self-Learning Optimal Control of Nonlinear Systems: Adaptive Dynamic Programming Approach
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Self-Learning Optimal Control of Nonlinear Systems
Published by Springer Verlag, Singapore, 2017
ISBN 10: 9811040796 ISBN 13: 9789811040795
Language: English
Seller: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Ireland
Seller rating 5 out of 5 stars
US$ 220.35
Convert currencyUS$ 12.18 shipping from Ireland to U.S.A.Quantity: 15 available
Add to basketCondition: New. Series: Studies in Systems, Decision and Control. Num Pages: 236 pages, 13 black & white illustrations, 73 colour illustrations, biography. BIC Classification: TGMD4; UYQ. Category: (P) Professional & Vocational. Dimension: 235 x 155. . . 2017. Hardback. . . . .
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Self-Learning Optimal Control of Nonlinear Systems
Published by Springer Nature Singapore, Springer Nature Singapore Jan 2019, 2019
ISBN 10: 9811350434 ISBN 13: 9789811350436
Language: English
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Seller rating 5 out of 5 stars
US$ 179.00
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Add to basketTaschenbuch. Condition: Neu. Neuware -This book presents a class of novel, self-learning, optimal control schemes based on adaptive dynamic programming techniques, which quantitatively obtain the optimal control schemes of the systems. It analyzes the properties identified by the programming methods, including the convergence of the iterative value functions and the stability of the system under iterative control laws, helping to guarantee the effectiveness of the methods developed. When the system model is known, self-learning optimal control is designed on the basis of the system model; when the system model is not known, adaptive dynamic programming is implemented according to the system data, effectively making the performance of the system converge to the optimum.With various real-world examples to complement and substantiate the mathematical analysis, the book is a valuable guide for engineers, researchers, and students in control science and engineering.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 252 pp. Englisch.
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Self-Learning Optimal Control of Nonlinear Systems
Published by Springer Nature Singapore, Springer Nature Singapore Jun 2017, 2017
ISBN 10: 9811040796 ISBN 13: 9789811040795
Language: English
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Seller rating 5 out of 5 stars
US$ 179.00
Convert currencyUS$ 69.61 shipping from Germany to U.S.A.Quantity: 2 available
Add to basketBuch. Condition: Neu. Neuware -This book presents a class of novel, self-learning, optimal control schemes based on adaptive dynamic programming techniques, which quantitatively obtain the optimal control schemes of the systems. It analyzes the properties identified by the programming methods, including the convergence of the iterative value functions and the stability of the system under iterative control laws, helping to guarantee the effectiveness of the methods developed. When the system model is known, self-learning optimal control is designed on the basis of the system model; when the system model is not known, adaptive dynamic programming is implemented according to the system data, effectively making the performance of the system converge to the optimum.With various real-world examples to complement and substantiate the mathematical analysis, the book is a valuable guide for engineers, researchers, and students in control science and engineering.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 252 pp. Englisch.
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Self-Learning Optimal Control of Nonlinear Systems : Adaptive Dynamic Programming Approach
Published by Springer Nature Singapore, Springer Nature Singapore, 2019
ISBN 10: 9811350434 ISBN 13: 9789811350436
Language: English
US$ 182.02
Convert currencyUS$ 71.86 shipping from Germany to U.S.A.Quantity: 1 available
Add to basketTaschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book presents a class of novel, self-learning, optimal control schemes based on adaptive dynamic programming techniques, which quantitatively obtain the optimal control schemes of the systems. It analyzes the properties identified by the programming methods, including the convergence of the iterative value functions and the stability of the system under iterative control laws, helping to guarantee the effectiveness of the methods developed. When the system model is known, self-learning optimal control is designed on the basis of the system model; when the system model is not known, adaptive dynamic programming is implemented according to the system data, effectively making the performance of the system converge to the optimum.With various real-world examples to complement and substantiate the mathematical analysis, the book is a valuable guide for engineers, researchers, and students in control science and engineering.
-
Self-Learning Optimal Control of Nonlinear Systems : Adaptive Dynamic Programming Approach
Published by Springer Nature Singapore, Springer Nature Singapore, 2017
ISBN 10: 9811040796 ISBN 13: 9789811040795
Language: English
US$ 183.92
Convert currencyUS$ 72.79 shipping from Germany to U.S.A.Quantity: 1 available
Add to basketBuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book presents a class of novel, self-learning, optimal control schemes based on adaptive dynamic programming techniques, which quantitatively obtain the optimal control schemes of the systems. It analyzes the properties identified by the programming methods, including the convergence of the iterative value functions and the stability of the system under iterative control laws, helping to guarantee the effectiveness of the methods developed. When the system model is known, self-learning optimal control is designed on the basis of the system model; when the system model is not known, adaptive dynamic programming is implemented according to the system data, effectively making the performance of the system converge to the optimum.With various real-world examples to complement and substantiate the mathematical analysis, the book is a valuable guide for engineers, researchers, and students in control science and engineering.
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Condition: New. 2019. Paperback. . . . . . Books ship from the US and Ireland.
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Self-Learning Optimal Control of Nonlinear Systems
Published by Springer Verlag, Singapore, 2017
ISBN 10: 9811040796 ISBN 13: 9789811040795
Language: English
Condition: New. Series: Studies in Systems, Decision and Control. Num Pages: 236 pages, 13 black & white illustrations, 73 colour illustrations, biography. BIC Classification: TGMD4; UYQ. Category: (P) Professional & Vocational. Dimension: 235 x 155. . . 2017. Hardback. . . . . Books ship from the US and Ireland.
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US$ 245.87
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Add to basketPaperback. Condition: New. New. book.
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US$ 254.70
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Add to basketPaperback. Condition: Brand New. reprint edition. 252 pages. 9.25x6.10x0.67 inches. In Stock.
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US$ 257.01
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Add to basketHardcover. Condition: Brand New. 230 pages. 9.25x6.25x0.75 inches. In Stock.
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US$ 255.49
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Add to basketHardcover. Condition: New. New. book.
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Self-Learning Optimal Control of Nonlinear Systems (Paperback)
Published by Springer Verlag, Singapore, Singapore, 2019
ISBN 10: 9811350434 ISBN 13: 9789811350436
Language: English
US$ 305.54
Convert currencyUS$ 37.00 shipping from Australia to U.S.A.Quantity: 1 available
Add to basketPaperback. Condition: new. Paperback. This book presents a class of novel, self-learning, optimal control schemes based on adaptive dynamic programming techniques, which quantitatively obtain the optimal control schemes of the systems. It analyzes the properties identified by the programming methods, including the convergence of the iterative value functions and the stability of the system under iterative control laws, helping to guarantee the effectiveness of the methods developed. When the system model is known, self-learning optimal control is designed on the basis of the system model; when the system model is not known, adaptive dynamic programming is implemented according to the system data, effectively making the performance of the system converge to the optimum.With various real-world examples to complement and substantiate the mathematical analysis, the book is a valuable guide for engineers, researchers, and students in control science and engineering. This book presents a class of novel, self-learning, optimal control schemes based on adaptive dynamic programming techniques, which quantitatively obtain the optimal control schemes of the systems. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
-
Self-Learning Optimal Control of Nonlinear Systems (Hardcover)
Published by Springer Verlag, Singapore, Singapore, 2017
ISBN 10: 9811040796 ISBN 13: 9789811040795
Language: English
First Edition
US$ 311.67
Convert currencyUS$ 37.00 shipping from Australia to U.S.A.Quantity: 1 available
Add to basketHardcover. Condition: new. Hardcover. This book presents a class of novel, self-learning, optimal control schemes based on adaptive dynamic programming techniques, which quantitatively obtain the optimal control schemes of the systems. It analyzes the properties identified by the programming methods, including the convergence of the iterative value functions and the stability of the system under iterative control laws, helping to guarantee the effectiveness of the methods developed. When the system model is known, self-learning optimal control is designed on the basis of the system model; when the system model is not known, adaptive dynamic programming is implemented according to the system data, effectively making the performance of the system converge to the optimum.With various real-world examples to complement and substantiate the mathematical analysis, the book is a valuable guide for engineers, researchers, and students in control science and engineering. This book presents a class of novel, self-learning, optimal control schemes based on adaptive dynamic programming techniques, which quantitatively obtain the optimal control schemes of the systems. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
