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Intelligent Optimal Adaptive Control for Mechatronic Systems

  • Marcin Szuster
  • Zenon Hendzel

Part of the Studies in Systems, Decision and Control book series (SSDC, volume 120)

Table of contents

  1. Front Matter
    Pages i-xi
  2. Marcin Szuster, Zenon Hendzel
    Pages 1-10
  3. Marcin Szuster, Zenon Hendzel
    Pages 11-50
  4. Marcin Szuster, Zenon Hendzel
    Pages 51-59
  5. Marcin Szuster, Zenon Hendzel
    Pages 61-83
  6. Marcin Szuster, Zenon Hendzel
    Pages 85-95
  7. Marcin Szuster, Zenon Hendzel
    Pages 97-126
  8. Marcin Szuster, Zenon Hendzel
    Pages 127-253
  9. Marcin Szuster, Zenon Hendzel
    Pages 255-297
  10. Marcin Szuster, Zenon Hendzel
    Pages 299-316
  11. Marcin Szuster, Zenon Hendzel
    Pages 317-379
  12. Marcin Szuster, Zenon Hendzel
    Pages 381-382

About this book

Introduction

The book deals with intelligent control of mobile robots, presenting the state-of-the-art in the field, and introducing new control algorithms developed and tested by the authors. It also discusses the use of artificial intelligent methods like neural networks and neuraldynamic programming, including globalised dual-heuristic dynamic programming, for controlling wheeled robots and robotic manipulators,and compares them to classical control methods.

Keywords

Bellman’s Dynamic Programming DHP Method GDHP Controller Heuristic Dynamic Programming Learning Without a Model Neural Tracking Control Nonlinear Systems Robotic Manipulators Supervised and Unsupervised Learning Two-wheeled Mobile Robots

Authors and affiliations

  • Marcin Szuster
    • 1
  • Zenon Hendzel
    • 2
  1. 1.Department of Applied Mechanics and Robotics, Faculty of Mechanical Engineering and AeronauticsRzeszow University of TechnologyRzeszowPoland
  2. 2.Department of Applied Mechanics and Robotics, Faculty of Mechanical Engineering and AeronauticsRzeszow University of TechnologyRzeszowPoland

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-68826-8
  • Copyright Information Springer International Publishing AG 2018
  • Publisher Name Springer, Cham
  • eBook Packages Engineering
  • Print ISBN 978-3-319-68824-4
  • Online ISBN 978-3-319-68826-8
  • Series Print ISSN 2198-4182
  • Series Online ISSN 2198-4190
  • Buy this book on publisher's site