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Reinforcement Learning Optimal Feedback Control with Industrial Applications

This book offers a thorough introduction to the basics and scientific and technological innovations involved in the modern study of reinforcement-learning-based feedback control. The authors address a wide variety of systems including work on nonlinear, networked, multi-agent and multi-player system...

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Bibliographic Details
Main Authors: Li, Jinna, Lewis, Frank L. (Author), Fan, Jialu (Author)
Format: eBook
Language:English
Published: Cham Springer International Publishing 2023, 2023
Edition:1st ed. 2023
Series:Advances in Industrial Control
Subjects:
Complex Systems
Industrial Engineering
Engineering Mathematics
Computational Intelligence
Control And Systems Theory
Industrial And Production Engineering
System Theory
Control Engineering
Process Engineering
Engineering / Data Processing
Mathematical And Computational Engineering Applications
Production Engineering
Online Access:
Collection: Springer eBooks 2005- - Collection details see MPG.ReNa
Table of Contents:
  • 1. Background on Reinforcement Learning and Optimal Control
  • 2. H-infinity Control Using Reinforcement Learning
  • 3. Robust Tracking Control and Output Regulation
  • 4. Interleaved Robust Reinforcement Learning
  • 5. Optimal Networked Controller and Observer Design
  • 6. Interleaved Q-Learning
  • 7. Off-Policy Game Reinforcement Learning
  • 8. Game Reinforcement Learning for Process Industries

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