Téléchargez le livre : Self-Learning Optimal Control of Nonlinear Systems

Self-Learning Optimal Control of Nonlinear Systems

Adaptive Dynamic Programming Approach

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Éditeur :

Springer


Collection :

Studies in Systems, Decision and Control

Paru le : 2017-06-13



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Description

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.
Pages
230 pages
Collection
Studies in Systems, Decision and Control
Parution
2017-06-13
Marque
Springer
EAN papier
9789811040795
EAN PDF
9789811040801
Informations sur l'ebook
Nombre pages copiables
2
Nombre pages imprimables
23
Taille du fichier
9073 Ko
Ce livre est accessible aux handicaps Voir les informations sur l'accessibilité
Prix
137,14 €

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