Overview
- Reports on the authors’ research on reinforcement learning and approximate dynamic programming for robot control
- Compares intelligent methods with classical control methods
- Includes an experimental verification of the discussed algorithms
- Includes supplementary material: sn.pub/extras
Part of the book series: Studies in Systems, Decision and Control (SSDC, volume 120)
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Table of contents (11 chapters)
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Front Matter
Keywords
About this book
Authors and Affiliations
Bibliographic Information
Book Title: Intelligent Optimal Adaptive Control for Mechatronic Systems
Authors: Marcin Szuster, Zenon Hendzel
Series Title: Studies in Systems, Decision and Control
DOI: https://doi.org/10.1007/978-3-319-68826-8
Publisher: Springer Cham
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer International Publishing AG, part of Springer Nature 2018
Hardcover ISBN: 978-3-319-68824-4Published: 29 January 2018
Softcover ISBN: 978-3-319-88663-3Published: 04 June 2019
eBook ISBN: 978-3-319-68826-8Published: 28 December 2017
Series ISSN: 2198-4182
Series E-ISSN: 2198-4190
Edition Number: 1
Number of Pages: XI, 382
Number of Illustrations: 105 b/w illustrations, 119 illustrations in colour
Topics: Computational Intelligence, Robotics and Automation, Artificial Intelligence, Mechatronics