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Adaptive dynamic programming = singl...

Song, Ruizhuo.

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Adaptive dynamic programming = single and multiple controllers /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Adaptive dynamic programming/ by Ruizhuo Song, Qinglai Wei, Qing Li.
Reminder of title:	single and multiple controllers /
Author:	Song, Ruizhuo.
other author:	Wei, Qinglai.
Published:	Singapore :Springer Singapore : : 2019.,
Description:	xv, 271 p. :ill., digital ;24 cm.
[NT 15003449]:	Part I: Preparation -- Introduction to optimal control and adaptive dynamic programming -- Neural networks implementation -- Part II: Optimal control for system with single controller -- Finite-time optimal control -- Multi-objective optimal control -- Multiple actor-critic optimal control via ADP -- Optimal control for complex-valued nonlinear systems -- Chaotic systems optimal tracking control -- Part III: Multi-player systems games -- Optimal control for unknown systems with disturbances -- Zero-sum differential games -- Non-Zero-Sum games -- Synchronization control for multi-agent games.
Contained By:	Springer eBooks
Subject:	Dynamic programming. -
Online resource:	https://doi.org/10.1007/978-981-13-1712-5
ISBN:	9789811317125

Adaptive dynamic programming = single and multiple controllers /
Song, Ruizhuo.

Adaptive dynamic programmingsingle and multiple controllers /[electronic resource] :by Ruizhuo Song, Qinglai Wei, Qing Li. - Singapore :Springer Singapore :2019. - xv, 271 p. :ill., digital ;24 cm. - Studies in systems, decision and control,v.1662198-4182 ;. - Studies in systems, decision and control ;v.166..

Part I: Preparation -- Introduction to optimal control and adaptive dynamic programming -- Neural networks implementation -- Part II: Optimal control for system with single controller -- Finite-time optimal control -- Multi-objective optimal control -- Multiple actor-critic optimal control via ADP -- Optimal control for complex-valued nonlinear systems -- Chaotic systems optimal tracking control -- Part III: Multi-player systems games -- Optimal control for unknown systems with disturbances -- Zero-sum differential games -- Non-Zero-Sum games -- Synchronization control for multi-agent games.

This book presents a class of novel optimal control methods and games schemes based on adaptive dynamic programming techniques. For systems with one control input, the ADP-based optimal control is designed for different objectives, while for systems with multi-players, the optimal control inputs are proposed based on games. In order to verify the effectiveness of the proposed methods, the book analyzes the properties of the adaptive dynamic programming methods, including convergence of the iterative value functions and the stability of the system under the iterative control laws. Further, to substantiate the mathematical analysis, it presents various application examples, which provide reference to real-world practices.

ISBN: 9789811317125

Standard No.: 10.1007/978-981-13-1712-5doiSubjects--Topical Terms:

641303
Dynamic programming.

LC Class. No.: T57.83 / .S664 2019

Dewey Class. No.: 519.703

Adaptive dynamic programming = single and multiple controllers /
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245 1 0 $a Adaptive dynamic programming $h [electronic resource] : $b single and multiple controllers / $c by Ruizhuo Song, Qinglai Wei, Qing Li.
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490 1 $a Studies in systems, decision and control, $x 2198-4182 ; $v v.166
505 0 $a Part I: Preparation -- Introduction to optimal control and adaptive dynamic programming -- Neural networks implementation -- Part II: Optimal control for system with single controller -- Finite-time optimal control -- Multi-objective optimal control -- Multiple actor-critic optimal control via ADP -- Optimal control for complex-valued nonlinear systems -- Chaotic systems optimal tracking control -- Part III: Multi-player systems games -- Optimal control for unknown systems with disturbances -- Zero-sum differential games -- Non-Zero-Sum games -- Synchronization control for multi-agent games.
520 $a This book presents a class of novel optimal control methods and games schemes based on adaptive dynamic programming techniques. For systems with one control input, the ADP-based optimal control is designed for different objectives, while for systems with multi-players, the optimal control inputs are proposed based on games. In order to verify the effectiveness of the proposed methods, the book analyzes the properties of the adaptive dynamic programming methods, including convergence of the iterative value functions and the stability of the system under the iterative control laws. Further, to substantiate the mathematical analysis, it presents various application examples, which provide reference to real-world practices.
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