Hybrid Intelligent Systems

Analysis and Design

  • Oscar Castillo
  • Patricia Melin
  • Janusz Kacprzyk
  • Witold Pedrycz

Part of the Studies in Fuzziness and Soft Computing book series (STUDFUZZ, volume 208)

Table of contents

  1. Front Matter
    Pages I-XV
  2. Theory

    1. Front Matter
      Pages I-XV
    2. Enric Farguell, Ferran Mazzanti, Eduardo Gomez-Ramirez
      Pages 21-42
    3. Oscar Montiel, Oscar Castillo, Patricia Melin, Roberto Sepúlveda
      Pages 43-58
    4. C. Posadas-Castillo, C. Cruz-Hernández, D. López-Mancilla
      Pages 59-73
  3. Intelligent Control Applications

    1. Front Matter
      Pages I-XV
    2. Eduardo Gómez-Ramírez
      Pages 115-133
    3. Nohé Cázarez, Oscar Castillo, Luís Aguilar, Selene Cárdenas
      Pages 135-149
    4. Roberto Sepulveda, Patricia Melin
      Pages 151-162
    5. Oscar Castillo, Gabriel Huesca, Fevrier Valdez
      Pages 163-178
  4. Robotic Applications

    1. Front Matter
      Pages I-XV
    2. Giovanni Egidio Pazienza, Elisabet Golobardes-Ribé, Xavier Vilasís-Cardona, Marco Balsi
      Pages 181-201
    3. Arnulfo Alanis Garza, Juan José Serrano, Rafael Ors Carot, José Mario, García Valdez
      Pages 203-213
    4. Selene L. Cárdenas, Oscar Castillo, Luis T. Aguilar, Nohé Cázarez
      Pages 243-253

About this book

Introduction

The objective of this edited volume is to offer a general view at the recent conceptual developments of Soft Computing (SC) regarded as a general methodology supporting the design of hybrid systems along with their diversified applications to modeling, simulation and control of non-linear dynamical systems. As of now, SC methodologies embrace neural networks, fuzzy logic, genetic algorithms and chaos theory. Each of these methodologies exhibits well delineated advantages and disadvantages. Interestingly, they have been found useful in solving a broad range of problems. However, many real-world complex problems require a prudent, carefully orchestrated integration of several of these methodologies to fully achieve the required efficiency, accuracy, and interpretability of the solutions. In this edited volume, an overview of SC methodologies, and their applications to modeling, simulation and control, will be given in an introductory paper by the Editors. Then, detailed methods for integrating the different SC methodologies in solving real-world problems will be given in the papers by the other authors in the book. The edited volume will cover a wide spectrum of applications including areas such as: robotic dynamic systems, non-linear plants, manufacturing systems, and time series prediction.

Keywords

Chaos Hybrid Intelligent Systems Navigation Soft Computing algorithms autonom calculus fuzzy control fuzzy logic genetic algorithms intelligent systems mobile robot modeling optimization rough terrain

Editors and affiliations

  • Oscar Castillo
    • 1
  • Patricia Melin
    • 2
  • Janusz Kacprzyk
    • 3
  • Witold Pedrycz
    • 4
  1. 1.Department of Computer ScienceTijuana Institute of TechnologyTijuanaMexico
  2. 2.Department of Computer ScienceTijuana Institute of TechnologyChula VistaUSA
  3. 3.Polish Academy of SciencesSystems Research InstituteWarszawaPoland
  4. 4.Department of Electrical and Computer EngineeringUniversity of AlbertaEdmontonCanada

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-540-37421-3
  • Copyright Information Springer 2007
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Engineering
  • Print ISBN 978-3-540-37419-0
  • Online ISBN 978-3-540-37421-3
  • Series Print ISSN 1434-9922
  • Series Online ISSN 1860-0808
  • About this book