Self-Learning Optimal Control of Nonlinear Systems: Adaptive Dynamic Programming Approach (Studies in Systems, Decision and Control)
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1
Self-Learning Optimal Control of Nonlinear Systems: Adaptive Dynamic Programming Approach (Studies in Systems, Decision and Control) (2017)
EN HC NW FE
ISBN: 9789811040795 bzw. 9811040796, in Englisch, 236 Seiten, Springer, gebundenes Buch, neu, Erstausgabe.
Lieferung aus: Vereinigte Staaten von Amerika, Not yet published.
Von Händler/Antiquariat, Amazon.com.
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., Hardcover, Ausgabe: 1st ed. 2017, Label: Springer, Springer, Produktgruppe: Book, Publiziert: 2017-04-24, Studio: Springer.
Von Händler/Antiquariat, Amazon.com.
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., Hardcover, Ausgabe: 1st ed. 2017, Label: Springer, Springer, Produktgruppe: Book, Publiziert: 2017-04-24, Studio: Springer.
2
Self-Learning Optimal Control of Nonlinear Systems - Qinglai Wei, Ruizhuo Song, Benkai Li, Gebunden
DE HC NW
ISBN: 9789811040795 bzw. 9811040796, in Deutsch, Springer, gebundenes Buch, neu.
Lieferung aus: Deutschland, zzgl. Versandkosten, in stock.
Self-Learning Optimal Control of Nonlinear Systems. 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. 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.
3
Self-Learning Optimal Control of Nonlinear Systems
DE HC NW
ISBN: 9789811040795 bzw. 9811040796, in Deutsch, Springer Singapore / Springer-Verlag GmbH, gebundenes Buch, neu.
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 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. Lieferzeit 1-2 Werktage.
4
Self-Learning Optimal Control of Nonlinear Systems 2017 (2017)
EN HC NW
ISBN: 9789811040795 bzw. 9811040796, in Englisch, Springer Verlag, Singapore, gebundenes Buch, neu.
Die Beschreibung dieses Angebotes ist von geringer Qualität oder in einer Fremdsprache. Trotzdem anzeigen
5
Self-Learning Optimal Control of Nonlinear Systems: Adaptive Dynamic Programming Approach (Studies in Systems, Decision and Control) (2017)
EN NW FE
ISBN: 9789811040795 bzw. 9811040796, in Englisch, 236 Seiten, Springer, neu, Erstausgabe.
Lieferung aus: Spanien, No se ha publicado todavía, Shipping costs for estimated weight: 400g.
Von Händler/Antiquariat, Amazon.es.
Die Beschreibung dieses Angebotes ist von geringer Qualität oder in einer Fremdsprache. Trotzdem anzeigen
Von Händler/Antiquariat, Amazon.es.
Die Beschreibung dieses Angebotes ist von geringer Qualität oder in einer Fremdsprache. Trotzdem anzeigen
6
Self-learning Optimal Control of Nonlinear Systems: Adaptive Dynamic Programming Approach (2017)
EN NW FE
ISBN: 9789811040795 bzw. 9811040796, in Englisch, 222 Seiten, Springer-Verlag, neu, Erstausgabe.
Lieferung aus: Italien, Non ancora pubblicato, plus shipping (if shipped).
Von Händler/Antiquariat, Amazon.it.
Die Beschreibung dieses Angebotes ist von geringer Qualität oder in einer Fremdsprache. Trotzdem anzeigen
Von Händler/Antiquariat, Amazon.it.
Die Beschreibung dieses Angebotes ist von geringer Qualität oder in einer Fremdsprache. Trotzdem anzeigen
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