Reinforcement Learning for Optimal Feedback Control (Record no. 76292)
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fixed length control field | 04480nam a22006495i 4500 |
001 - CONTROL NUMBER | |
control field | 978-3-319-78384-0 |
005 - DATE AND TIME OF LATEST TRANSACTION | |
control field | 20220801214403.0 |
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
fixed length control field | 180510s2018 sz | s |||| 0|eng d |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
ISBN | 9783319783840 |
-- | 978-3-319-78384-0 |
082 04 - CLASSIFICATION NUMBER | |
Call Number | 629.8312 |
082 04 - CLASSIFICATION NUMBER | |
Call Number | 003 |
100 1# - AUTHOR NAME | |
Author | Kamalapurkar, Rushikesh. |
245 10 - TITLE STATEMENT | |
Title | Reinforcement Learning for Optimal Feedback Control |
Sub Title | A Lyapunov-Based Approach / |
250 ## - EDITION STATEMENT | |
Edition statement | 1st ed. 2018. |
300 ## - PHYSICAL DESCRIPTION | |
Number of Pages | XVI, 293 p. |
490 1# - SERIES STATEMENT | |
Series statement | Communications and Control Engineering, |
505 0# - FORMATTED CONTENTS NOTE | |
Remark 2 | Chapter 1. Optimal control -- Chapter 2. Approximate dynamic programming -- Chapter 3. Excitation-based online approximate optimal control -- Chapter 4. Model-based reinforcement learning for approximate optimal control -- Chapter 5. Differential Graphical Games -- Chapter 6. Applications -- Chapter 7. Computational considerations -- Reference -- Index. |
520 ## - SUMMARY, ETC. | |
Summary, etc | Reinforcement Learning for Optimal Feedback Control develops model-based and data-driven reinforcement learning methods for solving optimal control problems in nonlinear deterministic dynamical systems. In order to achieve learning under uncertainty, data-driven methods for identifying system models in real-time are also developed. The book illustrates the advantages gained from the use of a model and the use of previous experience in the form of recorded data through simulations and experiments. The book’s focus on deterministic systems allows for an in-depth Lyapunov-based analysis of the performance of the methods described during the learning phase and during execution. To yield an approximate optimal controller, the authors focus on theories and methods that fall under the umbrella of actor–critic methods for machine learning. They concentrate on establishing stability during the learning phase and the execution phase, and adaptive model-based and data-driven reinforcement learning, to assist readers in the learning process, which typically relies on instantaneous input-output measurements. This monograph provides academic researchers with backgrounds in diverse disciplines from aerospace engineering to computer science, who are interested in optimal reinforcement learning functional analysis and functional approximation theory, with a good introduction to the use of model-based methods. The thorough treatment of an advanced treatment to control will also interest practitioners working in the chemical-process and power-supply industry. |
700 1# - AUTHOR 2 | |
Author 2 | Walters, Patrick. |
700 1# - AUTHOR 2 | |
Author 2 | Rosenfeld, Joel. |
700 1# - AUTHOR 2 | |
Author 2 | Dixon, Warren. |
856 40 - ELECTRONIC LOCATION AND ACCESS | |
Uniform Resource Identifier | https://doi.org/10.1007/978-3-319-78384-0 |
942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
Koha item type | eBooks |
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-- | Springer International Publishing : |
-- | Imprint: Springer, |
-- | 2018. |
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-- | computer |
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-- | rdamedia |
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-- | online resource |
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347 ## - | |
-- | text file |
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650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Control engineering. |
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Mathematical optimization. |
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Calculus of variations. |
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | System theory. |
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Control theory. |
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Telecommunication. |
650 14 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Control and Systems Theory. |
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Calculus of Variations and Optimization. |
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Systems Theory, Control . |
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Communications Engineering, Networks. |
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE | |
-- | 2197-7119 |
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-- | ZDB-2-ENG |
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-- | ZDB-2-SXE |
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