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Adaptive dynamic programming with applications in optimal control

This book covers the most recent developments in adaptive dynamic programming (ADP). The text begins with a thorough background review of ADP making sure that readers are sufficiently familiar with the fundamentals. In the core of the book, the authors address first discrete- and then continuous-tim...

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Detalles Bibliográficos
Autores principales: Liu, Derong, Wei, Qinglai, Wang, Ding, Yang, Xiong, Li, Hongliang
Lenguaje:eng
Publicado: Springer 2017
Materias:
Acceso en línea:https://dx.doi.org/10.1007/978-3-319-50815-3
http://cds.cern.ch/record/2243806
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author Liu, Derong
Wei, Qinglai
Wang, Ding
Yang, Xiong
Li, Hongliang
author_facet Liu, Derong
Wei, Qinglai
Wang, Ding
Yang, Xiong
Li, Hongliang
author_sort Liu, Derong
collection CERN
description This book covers the most recent developments in adaptive dynamic programming (ADP). The text begins with a thorough background review of ADP making sure that readers are sufficiently familiar with the fundamentals. In the core of the book, the authors address first discrete- and then continuous-time systems. Coverage of discrete-time systems starts with a more general form of value iteration to demonstrate its convergence, optimality, and stability with complete and thorough theoretical analysis. A more realistic form of value iteration is studied where value function approximations are assumed to have finite errors. Adaptive Dynamic Programming also details another avenue of the ADP approach: policy iteration. Both basic and generalized forms of policy-iteration-based ADP are studied with complete and thorough theoretical analysis in terms of convergence, optimality, stability, and error bounds. Among continuous-time systems, the control of affine and nonaffine nonlinear systems is studied using the ADP approach which is then extended to other branches of control theory including decentralized control, robust and guaranteed cost control, and game theory. In the last part of the book the real-world significance of ADP theory is presented, focusing on three application examples developed from the authors’ work: • renewable energy scheduling for smart power grids; • coal gasification processes; and • water–gas shift reactions. Researchers studying intelligent control methods and practitioners looking to apply them in the chemical-process and power-supply industries will find much to interest them in this thorough treatment of an advanced approach to control. Advances in Industrial Control aims to report and encourage the transfer of technology in control engineering. The rapid development of control technology has an impact on all areas of the control discipline. The series offers an opportunity for researchers to present an extended exposition of new work in all aspects of industrial control.
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spelling cern-22438062021-04-21T19:21:39Zdoi:10.1007/978-3-319-50815-3http://cds.cern.ch/record/2243806engLiu, DerongWei, QinglaiWang, DingYang, XiongLi, HongliangAdaptive dynamic programming with applications in optimal controlEngineeringThis book covers the most recent developments in adaptive dynamic programming (ADP). The text begins with a thorough background review of ADP making sure that readers are sufficiently familiar with the fundamentals. In the core of the book, the authors address first discrete- and then continuous-time systems. Coverage of discrete-time systems starts with a more general form of value iteration to demonstrate its convergence, optimality, and stability with complete and thorough theoretical analysis. A more realistic form of value iteration is studied where value function approximations are assumed to have finite errors. Adaptive Dynamic Programming also details another avenue of the ADP approach: policy iteration. Both basic and generalized forms of policy-iteration-based ADP are studied with complete and thorough theoretical analysis in terms of convergence, optimality, stability, and error bounds. Among continuous-time systems, the control of affine and nonaffine nonlinear systems is studied using the ADP approach which is then extended to other branches of control theory including decentralized control, robust and guaranteed cost control, and game theory. In the last part of the book the real-world significance of ADP theory is presented, focusing on three application examples developed from the authors’ work: • renewable energy scheduling for smart power grids; • coal gasification processes; and • water–gas shift reactions. Researchers studying intelligent control methods and practitioners looking to apply them in the chemical-process and power-supply industries will find much to interest them in this thorough treatment of an advanced approach to control. Advances in Industrial Control aims to report and encourage the transfer of technology in control engineering. The rapid development of control technology has an impact on all areas of the control discipline. The series offers an opportunity for researchers to present an extended exposition of new work in all aspects of industrial control.Springeroai:cds.cern.ch:22438062017
spellingShingle Engineering
Liu, Derong
Wei, Qinglai
Wang, Ding
Yang, Xiong
Li, Hongliang
Adaptive dynamic programming with applications in optimal control
title Adaptive dynamic programming with applications in optimal control
title_full Adaptive dynamic programming with applications in optimal control
title_fullStr Adaptive dynamic programming with applications in optimal control
title_full_unstemmed Adaptive dynamic programming with applications in optimal control
title_short Adaptive dynamic programming with applications in optimal control
title_sort adaptive dynamic programming with applications in optimal control
topic Engineering
url https://dx.doi.org/10.1007/978-3-319-50815-3
http://cds.cern.ch/record/2243806
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AT weiqinglai adaptivedynamicprogrammingwithapplicationsinoptimalcontrol
AT wangding adaptivedynamicprogrammingwithapplicationsinoptimalcontrol
AT yangxiong adaptivedynamicprogrammingwithapplicationsinoptimalcontrol
AT lihongliang adaptivedynamicprogrammingwithapplicationsinoptimalcontrol