Aspects of Soft Computing, Intelligent Robotics and Control

  • János Fodor
  • Janusz Kacprzyk

Part of the Studies in Computational Intelligence book series (SCI, volume 241)

Table of contents

  1. Front Matter
  2. Soft Computing

    1. Front Matter
      Pages 1-1
    2. Endre Pap
      Pages 3-24
    3. János Fodor
      Pages 25-50
    4. Bogdan M. Wilamowski
      Pages 51-64
    5. Hideyuki Takagi
      Pages 65-76
  3. Intelligent Robotics

    1. Front Matter
      Pages 77-77
    2. Miomir Vukobratović, Branislav Borovac
      Pages 79-100
    3. Toshio Fukuda, Tadayoshi Aoyama, Yasuhisa Hasegawa, Kosuke Sekiyama, Shigetaka Kojima
      Pages 101-121
    4. Yoichi Yamazaki, Hai An Vu, Phuc Quang Le, Hitoho Oikawa, Kazuya Fukuda, Yui Matsuura et al.
      Pages 129-146
    5. Áron Ballagi, László T. Kóczy, Tamás D. Gedeon
      Pages 147-164
  4. Intelligent Control

    1. Front Matter
      Pages 165-165
    2. József Bokor, Zoltán Szabó, László Nádai
      Pages 167-188
    3. Georgi M. Dimirovski, Yuanwei Jing, Tao Ren
      Pages 205-222
    4. Janos L. Grantner, George A. Fodor
      Pages 223-234
    5. J. A. Tenreiro Machado, Isabel S. Jesus, Ramiro S. Barbosa, Manuel F. Silva
      Pages 235-251
  5. Back Matter

About this book

Introduction

Soft computing, as a collection of techniques exploiting approximation and tolerance for imprecision and uncertainty in traditionally intractable problems, has become very effective and popular especially because of the synergy derived from its components. The integration of constituent technologies provides complementary methods that allow developing flexible computing tools and solving complex problems. A wide area of natural applications of soft computing techniques consists of the control of dynamic systems, including robots. Loosely speaking, control can be understood as driving a process to attain a desired goal. Intelligent control can be seen as an extension of this concept, to include autonomous human-like interactions of a machine with the environment. Intelligent robots can be characterized by the ability to operate in an uncertain, changing environment with the help of appropriate sensing. They have the power to autonomously plan and execute motion sequences to achieve a goal specified by a human user without detailed instructions. In this volume leading specialists address various theoretical and practical aspects in soft computing, intelligent robotics and control. The problems discussed are taken from fuzzy systems, neural networks, interactive evolutionary computation, intelligent mobile robotics, and intelligent control of linear and nonlinear dynamic systems.

Keywords

Adaptive control Extension control evolution evolutionary computation fuzzy system fuzzy systems intelligent control mobile robot neural network neural networks nonlinear system robot robotics uncertainty

Editors and affiliations

  • János Fodor
    • 1
  • Janusz Kacprzyk
    • 2
  1. 1.Institute of Intelligent Engineering SystemsJohn von Neumann Faculty of Informatics Budapest TechBudapestHungary
  2. 2.Systems Research InstitutePolish Academy of SciencesWarsawPoland

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-642-03633-0
  • Copyright Information Springer-Verlag Berlin Heidelberg 2009
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Engineering
  • Print ISBN 978-3-642-03632-3
  • Online ISBN 978-3-642-03633-0
  • Series Print ISSN 1860-949X
  • Series Online ISSN 1860-9503
  • About this book