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Adaptive Dynamic Programming: Single and Multiple Controllers

  • Ruizhuo Song
  • Qinglai Wei
  • Qing Li

Part of the Studies in Systems, Decision and Control book series (SSDC, volume 166)

Table of contents

  1. Front Matter
    Pages i-xv
  2. Ruizhuo Song, Qinglai Wei, Qing Li
    Pages 1-6
  3. Ruizhuo Song, Qinglai Wei, Qing Li
    Pages 49-62
  4. Ruizhuo Song, Qinglai Wei, Qing Li
    Pages 63-93
  5. Ruizhuo Song, Qinglai Wei, Qing Li
    Pages 95-111
  6. Ruizhuo Song, Qinglai Wei, Qing Li
    Pages 127-145
  7. Back Matter
    Pages 271-271

About this book

Introduction

This book presents a class of novel optimal control methods and games schemes based on adaptive dynamic programming techniques. For systems with one control input, the ADP-based optimal control is designed for different objectives, while for systems with multi-players, the optimal control inputs are proposed based on games. In order to verify the effectiveness of the proposed methods, the book analyzes the properties of the adaptive dynamic programming methods, including convergence of the iterative value functions and the stability of the system under the iterative control laws. Further, to substantiate the mathematical analysis, it presents various application examples, which provide reference to real-world practices. 

Keywords

Optimal control Multi-player games Adaptive dynamic programming Nonlinear systems Neural network-based control

Authors and affiliations

  • Ruizhuo Song
    • 1
  • Qinglai Wei
    • 2
  • Qing Li
    • 3
  1. 1.University of Science and Technology BeijingBeijingChina
  2. 2.Institute of AutomationChinese Academy of SciencesBeijingChina
  3. 3.University of Science and Technology BeijingBeijingChina

Bibliographic information

  • DOI https://doi.org/10.1007/978-981-13-1712-5
  • Copyright Information Science Press, Beijing and Springer Nature Singapore Pte Ltd. 2019
  • Publisher Name Springer, Singapore
  • eBook Packages Intelligent Technologies and Robotics
  • Print ISBN 978-981-13-1711-8
  • Online ISBN 978-981-13-1712-5
  • Series Print ISSN 2198-4182
  • Series Online ISSN 2198-4190
  • Buy this book on publisher's site