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Soft Computing for Intelligent Control and Mobile Robotics

  • Book
  • © 2011

Overview

Editors:
  1. Oscar Castillo

    1. Tijuana Institute of Technology, Chula Vista, USA

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  2. Janusz Kacprzyk

    1. Polish Academy of Sciences, Warsaw, Poland

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  3. Witold Pedrycz

    1. University of Alberta, Edmonton, Canada

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  • Recent research in Soft Computing for Intelligent Control and Mobile Robotics
  • Carefully edited book
  • Written by experts in the field

Part of the book series: Studies in Computational Intelligence (SCI, volume 318)

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Table of contents (28 chapters)

  1. Front Matter

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  2. Theory and Algorithms

    1. Front Matter

      Pages 1-1
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    2. Applying Intelligent Systems for Modeling Students’ Learning Styles Used for Mobile and Web-Based Systems

      • Ramón Zatarain, Lucia Barrón-Estrada, Carlos Alberto Reyes-García, Orion Fausto Reyes-Galaviz
      Pages 3-22

    3. Towards a Fuzzy Model for RAMSET: Role Assignment Methodology for Software Engineering Teams

      • Luis G. Martínez, Juan R. Castro, Guillermo Licea, Antonio Rodríguez-Díaz, Carlos Álvarez
      Pages 23-41

    4. Academic Timetabling Design Using Hyper-Heuristics

      • Soria-Alcaraz Jorge A., Carpio-Valadez J. Martin, Terashima-Marin Hugo
      Pages 43-56

    5. Logistics Optimization Service Improved with Artificial Intelligence

      • Alberto Ochoa, Yazmani Garcia, Javier Yañez
      Pages 57-65

    6. Accelerometer-Based Hand Gesture Recognition Using Artificial Neural Networks

      • Francisco Arce, José Mario García Valdez
      Pages 67-77

  3. Intelligent Control

    1. Front Matter

      Pages 79-79
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    2. Direct and Indirect Neural Identification and Control of a Continuous Bioprocess via Marquardt Learning

      • Ieroham Baruch, Carlos-Roman Mariaca-Gaspar, Josefina Barrera-Cortes, Oscar Castillo
      Pages 81-102

    3. Simple Tuning of Type-2 Fuzzy Controllers

      • Eduardo Gómez-Ramírez, Patricia Melin, Oscar Castillo
      Pages 103-123

    4. Increasing Energy Efficiency of a Preamble Sampling MAC Protocol for Wireless Sensor Networks Using a Fuzzy Logic Approach

      • Leocundo Aguilar, Oscar Castillo, J. Antonio García-Macías, Guillermo Licea
      Pages 125-142

    5. Multi-Agent System Based on Psychological Models for Mobile Robots

      • Arnulfo Alanis Garza, Oscar Castillo, José Mario García Valdez
      Pages 143-159

    6. Fuzzy Control for Dynamical Parameter Adaptation in a Parallel Evolutionary Method Combining Particle Swarm Optimization and Genetic Algorithms

      • Fevrier Valdez, Patricia Melin, Oscar Castillo
      Pages 161-178

  4. Optimization of Fuzzy Controllers

    1. Front Matter

      Pages 179-179
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    2. Optimization of Type-2 Fuzzy Logic Controllers Using PSO Applied to Linear Plants

      • Ricardo Martinez, Oscar Castillo, Luis T. Aguilar, Antonio Rodriguez
      Pages 181-193

    3. Optimization of Membership Functions for an Incremental Fuzzy PD Control Based on Genetic Algorithms

      • Yazmín Maldonado, Oscar Castillo, Patricia Melin
      Pages 195-211

    4. Design of a Fuzzy System for the Longitudinal Control of an F-14 Airplane

      • Leticia Cervantes, Oscar Castillo
      Pages 213-224

    5. A Fuzzy Reactive Controller of a Mobile Robot

      • Abraham Meléndez, Oscar Castillo, Arnulfo Alanis Garza
      Pages 225-232

    6. Multi-Agent System with Personality Profiles and Preferences and Learning for Autonomous Mobile Robot with Fuzzy Logic Support

      • Arnulfo Alanis Garza, Oscar Castillo, José Mario García Valdez
      Pages 233-250

  5. Time Series Prediction and Intelligent Agents

    1. Front Matter

      Pages 251-251
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Keywords

About this book

This book describes in a detailed fashion the application of hybrid intelligent systems using soft computing techniques for intelligent control and mobile robotics. Soft Computing (SC) consists of several intelligent computing paradigms, including fuzzy logic, neural networks, and bio-inspired optimization algorithms, which can be used to produce powerful hybrid intelligent systems. The prudent combination of SC techniques can produce powerful hybrid intelligent systems that are capable of solving real-world problems. This is illustrated in this book with a wide range of applications, with particular emphasis in intelligent control and mobile robotics. The book is organized in five main parts, which contain a group of papers around a similar subject. The first part consists of papers with the main theme of theory and algorithms, which are basically papers that propose new models and concepts, which can be the basis for achieving intelligent control and mobile robotics. The second part contains papers with the main theme of intelligent control, which are basically papers using bio-inspired techniques, like evolutionary algorithms and neural networks, for achieving intelligent control of non-linear plants. The third part contains papers with the theme of optimization of fuzzy controllers, which basically consider the application of bio-inspired optimization methods to automate the de-sign process of optimal type-1 and type-2 fuzzy controllers. The fourth part contains papers that deal with the application of SC techniques in times series prediction and intelligent agents. The fifth part contains papers with the theme of computer vision and robotics, which are papers considering soft computing methods for applications related to vision and robotics.

Editors and Affiliations

  • Tijuana Institute of Technology, Chula Vista, USA

    Oscar Castillo

  • Polish Academy of Sciences, Warsaw, Poland

    Janusz Kacprzyk

  • University of Alberta, Edmonton, Canada

    Witold Pedrycz

Bibliographic Information

  • Book Title: Soft Computing for Intelligent Control and Mobile Robotics

  • Editors: Oscar Castillo, Janusz Kacprzyk, Witold Pedrycz

  • Series Title: Studies in Computational Intelligence

  • DOI: https://doi.org/10.1007/978-3-642-15534-5

  • Publisher: Springer Berlin, Heidelberg

  • eBook Packages: Engineering, Engineering (R0)

  • Copyright Information: Springer Berlin Heidelberg 2011

  • Hardcover ISBN: 978-3-642-15533-8Published: 05 October 2010

  • Softcover ISBN: 978-3-642-42298-0Published: 23 November 2014

  • eBook ISBN: 978-3-642-15534-5Published: 05 October 2010

  • Series ISSN: 1860-949X

  • Series E-ISSN: 1860-9503

  • Edition Number: 1

  • Number of Pages: XII, 484

  • Topics: Computational Intelligence, Artificial Intelligence, Control and Systems Theory

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