Format:
1 online resource (318 pages)
Edition:
1st ed.
ISBN:
9783031283949
Series Statement:
Advances in Industrial Control Series
Content:
Intro -- Series Editor's Foreword -- Preface -- Acknowledgements -- Contents -- Abbreviations -- 1 Background on Reinforcement Learning and Optimal Control -- 1.1 Fundamentals of Reinforcement Learning and Recall -- 1.2 Fundamentals of Optimal Control with Dynamic Programming -- 1.3 Architecture and Performance of Networked Control System -- 1.4 The State of the Art and Contributions -- References -- 2 Hinfty Control Using Reinforcement Learning -- 2.1 Hinfty State Feedback Control of Multi-player Systems -- 2.1.1 Problem Statement -- 2.1.2 Solving the Multi-player Zero-Sum Game -- 2.1.3 Off-Policy Game Q-Learning Technique -- 2.1.4 Simulation Results -- 2.2 Hinfty Output Feedback Control of Multi-player Systems -- 2.2.1 Problem Statement -- 2.2.2 Solving the Multi-player Zero-Sum Game -- 2.2.3 Off-Policy Game Q-Learning Technique -- 2.2.4 Simulation Results -- 2.3 Conclusion -- References -- 3 Robust Tracking Control and Output Regulation -- 3.1 Optimal Robust Control Problem Statement -- 3.2 Theoretical Solutions -- 3.2.1 Solving the Regulator Equations with Known Dynamics -- 3.2.2 Solving Problem 3.2 with Known Dynamics -- 3.3 Data-Driven Solutions -- 3.3.1 Data-Driven OPCG Q-Learning -- 3.3.2 No Bias Analysis of the Solution for the Proposed Algorithm -- 3.4 Illustrative Examples -- 3.5 Conclusion -- References -- 4 Interleaved Robust Reinforcement Learning -- 4.1 Robust Controller Design and Simplified HJB Equation -- 4.2 Interleaved RL for Approximating Robust Control -- 4.2.1 Theoretical Analysis -- 4.3 Illustrative Examples -- 4.4 Conclusion -- References -- 5 Optimal Networked Controller and Observer Design -- 5.1 Off-Policy Q-Learning for Single-Player Networked Control Systems -- 5.1.1 Problem Formulation -- 5.1.2 Optimal Observer Design -- 5.1.3 Optimal Controller Design -- 5.1.4 Simulation Results.
Note:
Description based on publisher supplied metadata and other sources
Additional Edition:
9783031283932
Additional Edition:
Erscheint auch als Druck-Ausgabe 9783031283932
Language:
English
