Adaptive Dynamic Programming with Applications in Optimal Control

Adaptive Dynamic Programming with Applications in Optimal Control

Author: Derong Liu

Publisher: Springer

ISBN: 9783319508153

Category: Technology & Engineering

Page: 594

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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.
Adaptive Dynamic Programming with Applications in Optimal Control
Language: en
Pages: 594
Authors: Derong Liu, Qinglai Wei, Ding Wang, Xiong Yang, Hongliang Li
Categories: Technology & Engineering
Type: BOOK - Published: 2017-01-04 - Publisher: Springer

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
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Language: en
Pages: 424
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Categories: Technology & Engineering
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There are many methods of stable controller design for nonlinear systems. In seeking to go beyond the minimum requirement of stability, Adaptive Dynamic Programming in Discrete Time approaches the challenging topic of optimal control for nonlinear systems using the tools of adaptive dynamic programming (ADP). The range of systems treated
Adaptive Critic Control with Robust Stabilization for Uncertain Nonlinear Systems
Language: en
Pages: 307
Authors: Ding Wang, Chaoxu Mu
Categories: Technology & Engineering
Type: BOOK - Published: 2018-08-10 - Publisher: Springer

This book reports on the latest advances in adaptive critic control with robust stabilization for uncertain nonlinear systems. Covering the core theory, novel methods, and a number of typical industrial applications related to the robust adaptive critic control field, it develops a comprehensive framework of robust adaptive strategies, including theoretical
Reinforcement Learning and Optimal Control
Language: en
Pages: 388
Authors: Dimitri Bertsekas
Categories: Computers
Type: BOOK - Published: 2019-07-01 - Publisher: Athena Scientific

This book considers large and challenging multistage decision problems, which can be solved in principle by dynamic programming (DP), but their exact solution is computationally intractable. We discuss solution methods that rely on approximations to produce suboptimal policies with adequate performance. These methods are collectively known by several essentially equivalent
Neural Information Processing
Language: en
Pages: 912
Authors: Derong Liu, Shengli Xie, Yuanqing Li, Dongbin Zhao, El-Sayed M. El-Alfy
Categories: Computers
Type: BOOK - Published: 2017-11-07 - Publisher: Springer

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