Vendeur : Ria Christie Collections, Uxbridge, Royaume-Uni
EUR 152,18
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Edité par Springer Nature Singapore, Springer Nature Singapore, 2019
ISBN 10 : 9811350434 ISBN 13 : 9789811350436
Langue: anglais
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
EUR 152,32
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Ajouter au panierTaschenbuch. Etat : 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.
Edité par Springer Nature Singapore, Springer Nature Singapore Jan 2019, 2019
ISBN 10 : 9811350434 ISBN 13 : 9789811350436
Langue: anglais
Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne
EUR 149,79
Autre deviseQuantité disponible : 2 disponible(s)
Ajouter au panierTaschenbuch. Etat : 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.
Vendeur : California Books, Miami, FL, Etats-Unis
EUR 184
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Vendeur : Books Puddle, New York, NY, Etats-Unis
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Vendeur : Lucky's Textbooks, Dallas, TX, Etats-Unis
EUR 149,47
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Vendeur : Revaluation Books, Exeter, Royaume-Uni
EUR 220,21
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Ajouter au panierPaperback. Etat : Brand New. reprint edition. 252 pages. 9.25x6.10x0.67 inches. In Stock.
Vendeur : Mispah books, Redhill, SURRE, Royaume-Uni
EUR 211,47
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Ajouter au panierPaperback. Etat : New. New. book.
Vendeur : moluna, Greven, Allemagne
EUR 127,40
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Ajouter au panierEtat : 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.
Edité par Springer Nature Singapore Jan 2019, 2019
ISBN 10 : 9811350434 ISBN 13 : 9789811350436
Langue: anglais
Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
EUR 149,79
Autre deviseQuantité disponible : 2 disponible(s)
Ajouter au panierTaschenbuch. Etat : 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.
Vendeur : Majestic Books, Hounslow, Royaume-Uni
EUR 203,80
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Vendeur : Biblios, Frankfurt am main, HESSE, Allemagne
EUR 207,14
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Ajouter au panierEtat : New. PRINT ON DEMAND.