Da: Buchpark, Trebbin, Germania
Condizione: Sehr gut. Zustand: Sehr gut | Seiten: 252 | Sprache: Englisch | Produktart: Bücher.
Da: Buchpark, Trebbin, Germania
Condizione: Sehr gut. Zustand: Sehr gut | Seiten: 252 | Sprache: Englisch | Produktart: Bücher.
Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 154,91
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Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 154,91
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Editore: Springer Nature Singapore, Springer Nature Singapore Jan 2019, 2019
ISBN 10: 9811350434 ISBN 13: 9789811350436
Lingua: Inglese
Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
EUR 149,79
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Aggiungi al carrelloTaschenbuch. Condizione: 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.
Editore: Springer Nature Singapore, Springer Nature Singapore Jun 2017, 2017
ISBN 10: 9811040796 ISBN 13: 9789811040795
Lingua: Inglese
Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
EUR 149,79
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Aggiungi al carrelloBuch. Condizione: 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.
Editore: Springer Nature Singapore, Springer Nature Singapore, 2019
ISBN 10: 9811350434 ISBN 13: 9789811350436
Lingua: Inglese
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 156,28
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Aggiungi al carrelloTaschenbuch. Condizione: 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.
Editore: Springer Nature Singapore, Springer Nature Singapore, 2017
ISBN 10: 9811040796 ISBN 13: 9789811040795
Lingua: Inglese
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 157,86
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Aggiungi al carrelloBuch. Condizione: 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.
Da: California Books, Miami, FL, U.S.A.
EUR 184,99
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Da: California Books, Miami, FL, U.S.A.
EUR 184,99
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Da: Books Puddle, New York, NY, U.S.A.
EUR 199,77
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Da: Books Puddle, New York, NY, U.S.A.
EUR 201,94
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Da: Lucky's Textbooks, Dallas, TX, U.S.A.
EUR 150,27
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Da: Revaluation Books, Exeter, Regno Unito
EUR 220,91
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Aggiungi al carrelloPaperback. Condizione: Brand New. reprint edition. 252 pages. 9.25x6.10x0.67 inches. In Stock.
Da: Revaluation Books, Exeter, Regno Unito
EUR 222,90
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Aggiungi al carrelloHardcover. Condizione: Brand New. 230 pages. 9.25x6.25x0.75 inches. In Stock.
Da: Mispah books, Redhill, SURRE, Regno Unito
EUR 215,26
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Da: Mispah books, Redhill, SURRE, Regno Unito
EUR 223,67
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Aggiungi al carrelloHardcover. Condizione: New. New. book.
Da: moluna, Greven, Germania
EUR 127,40
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Aggiungi al carrelloCondizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Provides a series of novel adaptive dynamic programming methodologies to obtain the optimal control policies for various nonlinear systemsIncludes a detailed theoretical analysis of the adaptive dynamic programming methods, which guarantees the ef.
Da: moluna, Greven, Germania
EUR 127,40
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Aggiungi al carrelloGebunden. Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Provides a series of novel adaptive dynamic programming methodologies to obtain the optimal control policies for various nonlinear systemsIncludes a detailed theoretical analysis of the adaptive dynamic programming methods, which guarantees the ef.
Editore: Springer Nature Singapore Jan 2019, 2019
ISBN 10: 9811350434 ISBN 13: 9789811350436
Lingua: Inglese
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
EUR 149,79
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - 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. 252 pp. Englisch.
Editore: Springer Nature Singapore, Springer Nature Singapore Jun 2017, 2017
ISBN 10: 9811040796 ISBN 13: 9789811040795
Lingua: Inglese
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
EUR 149,79
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Aggiungi al carrelloBuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - 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. 252 pp. Englisch.
Da: Majestic Books, Hounslow, Regno Unito
EUR 205,88
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Da: Majestic Books, Hounslow, Regno Unito
EUR 211,57
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Da: Biblios, Frankfurt am main, HESSE, Germania
EUR 213,96
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Da: Biblios, Frankfurt am main, HESSE, Germania
EUR 217,60
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