Adaptive dynamic programming with applications in optimal control / Derong Liu, Qinglai Wei, Ding Wang, Xiong Yang, Hongliang Li.
Liu, Derong, 1963- author.; Wei, Qinglai, author.; Wang, Ding, author.; Yang, Xiong, author.; Li, Hongliang, author.
2017
T57.83
Available Online

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Title Adaptive dynamic programming with applications in optimal control / Derong Liu, Qinglai Wei, Ding Wang, Xiong Yang, Hongliang Li.
ISBN 9783319508153 (electronic book)
3319508156 (electronic book)
9783319508139
331950813X
DOI https://doi.org/10.1007/978-3-319-50815-3
Published Cham, Switzerland : Springer, 2017.
Language English
Description 1 online resource.
Item Number 10.1007/978-3-319-50815-3 doi
Call Number T57.83
Dewey Decimal Classification 519.7/03
Summary 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.
Bibliography, etc. Note Includes bibliographical references and index.
Access Note Access limited to authorized users.
Digital File Characteristics text file PDF
Source of Description Online resource; title from PDF title page (SpringerLink, viewed January 19, 2017).
Added Author Liu, Derong, 1963- author.
Wei, Qinglai, author.
Wang, Ding, author.
Yang, Xiong, author.
Li, Hongliang, author.
Series Advances in industrial control.
Available in Other Form Adaptive dynamic programming with applications in optimal control.
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Record Appears in Online Resources > Ebooks
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History of Adaptive Dynamic Programming
Part I: Continuous-Time Systems
Optimal Control of Continuous-Time Affine Nonlinear Systems
Optimal Control of Nonaffine Continuous-Time Systems
Robust and Guaranteed Cost Control of Continuous-Time Nonlinear Systems
Decentralized Stabilization and Control of Nonlinear Interconnected Systems
Online Synchronous Optimal Learnign Algorithms for Multiplayer Nonzero-Sum Games with Unknown Dynamics
Part II: Discrete-Time Systems
Value Iteration Adaptive Dynamic Programming for Discrete-Time Nonlinear Systems
Finite Approximation Error-Based Value Iteration for Adaptive Dynamic Programming
Policy Iteration for Optimal Control of Discrete-Time Nonlinear Systems
Generalized Policy Iteration Adaptive Dynamic Programming for Discrete-Time Nonlinear Systems
Error-Bound Analysis of Adaptive Dynamic Programming Algorithms for Solving Undiscounted Optimal Control Problems
Part III: Applications
Adaptive Dynamic Programming for Renewable Energy Scheduling and Battery Management in Smart Homes
Adaptive Dynamic Programming for Optimal Tracking Control of a Coal Gasification Process
Data-Driven Neuro-Optimal Temperature Control of Water?Gas Shift Reaction.

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