Adaptive Dynamic Programming with Applications in Optimal Control (Record no. 80118)
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000 -LEADER | |
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fixed length control field | 05697nam a22006135i 4500 |
001 - CONTROL NUMBER | |
control field | 978-3-319-50815-3 |
005 - DATE AND TIME OF LATEST TRANSACTION | |
control field | 20220801221839.0 |
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
fixed length control field | 170104s2017 sz | s |||| 0|eng d |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
ISBN | 9783319508153 |
-- | 978-3-319-50815-3 |
082 04 - CLASSIFICATION NUMBER | |
Call Number | 629.8312 |
082 04 - CLASSIFICATION NUMBER | |
Call Number | 003 |
100 1# - AUTHOR NAME | |
Author | Liu, Derong. |
245 10 - TITLE STATEMENT | |
Title | Adaptive Dynamic Programming with Applications in Optimal Control |
250 ## - EDITION STATEMENT | |
Edition statement | 1st ed. 2017. |
300 ## - PHYSICAL DESCRIPTION | |
Number of Pages | XXX, 594 p. 203 illus., 175 illus. in color. |
490 1# - SERIES STATEMENT | |
Series statement | Advances in Industrial Control, |
505 0# - FORMATTED CONTENTS NOTE | |
Remark 2 | 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. |
520 ## - SUMMARY, ETC. | |
Summary, etc | 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. |
700 1# - AUTHOR 2 | |
Author 2 | Wei, Qinglai. |
700 1# - AUTHOR 2 | |
Author 2 | Wang, Ding. |
700 1# - AUTHOR 2 | |
Author 2 | Yang, Xiong. |
700 1# - AUTHOR 2 | |
Author 2 | Li, Hongliang. |
856 40 - ELECTRONIC LOCATION AND ACCESS | |
Uniform Resource Identifier | https://doi.org/10.1007/978-3-319-50815-3 |
942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
Koha item type | eBooks |
264 #1 - | |
-- | Cham : |
-- | Springer International Publishing : |
-- | Imprint: Springer, |
-- | 2017. |
336 ## - | |
-- | text |
-- | txt |
-- | rdacontent |
337 ## - | |
-- | computer |
-- | c |
-- | rdamedia |
338 ## - | |
-- | online resource |
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347 ## - | |
-- | text file |
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-- | rda |
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Control engineering. |
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Computational intelligence. |
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Nonlinear Optics. |
650 14 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Control and Systems Theory. |
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Computational Intelligence. |
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Nonlinear Optics. |
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE | |
-- | 2193-1577 |
912 ## - | |
-- | ZDB-2-ENG |
912 ## - | |
-- | ZDB-2-SXE |
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