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Type-2 Fuzzy Logic in Intelligent Control Applications

  • Book
  • © 2012

Overview

Authors:
  1. Oscar Castillo

    1. Computer Science, Tijuana Institute of Technology, Chula Vista, USA

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  • Recent research in Type-2 Fuzzy Logic in Intelligent Control Applications
  • Presents important applications of the Type-2 Fuzzy Logic
  • Written by a leading expert in the field

Part of the book series: Studies in Fuzziness and Soft Computing (STUDFUZZ, volume 272)

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Table of contents (13 chapters)

  1. Front Matter

    Pages 1-9
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  2. Basic Concepts and Theory

    1. Front Matter

      Pages 1-1
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    2. Introduction to Type-2 Fuzzy Logic Control

      • Oscar Castillo
      Pages 3-5

    3. Type-2 Fuzzy Logic

      • Oscar Castillo
      Pages 7-22

    4. Design of Interval Type-2 Fuzzy Logic Controllers

      • Oscar Castillo
      Pages 23-47

    5. Design of Stable Type-2 Fuzzy Logic Controllers

      • Oscar Castillo
      Pages 49-61

  5. Back Matter

    Pages 1-8
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Keywords

About this book

We describe in this book, hybrid intelligent systems based mainly on type-2 fuzzy logic for intelligent control. Hybrid intelligent systems combine several intelligent computing paradigms, including fuzzy logic, and bio-inspired optimization algorithms, which can be used to produce powerful automatic control systems. The book is organized in three main parts, which contain a group of chapters around a similar subject. The first part consists of chapters with the main theme of theory and design algorithms, which are basically chapters that propose new models and concepts, which can be the basis for achieving intelligent control with interval type-2 fuzzy logic. The second part of the book is comprised of chapters with the main theme of evolutionary optimization of type-2 fuzzy systems in intelligent control with the aim of designing optimal type-2 fuzzy controllers for complex control problems in diverse areas of application, including mobile robotics, aircraft dynamics systems and hardware implementations. The third part of the book is formed with chapters dealing with the theme of bio-inspired optimization of type-2 fuzzy systems in intelligent control, which includes the application of particle swarm intelligence and ant colony optimization algorithms for obtaining optimal type-2 fuzzy controllers.

Authors and Affiliations

  • Computer Science, Tijuana Institute of Technology, Chula Vista, USA

    Oscar Castillo

Bibliographic Information

  • Book Title: Type-2 Fuzzy Logic in Intelligent Control Applications

  • Authors: Oscar Castillo

  • Series Title: Studies in Fuzziness and Soft Computing

  • DOI: https://doi.org/10.1007/978-3-642-24663-0

  • Publisher: Springer Berlin, Heidelberg

  • eBook Packages: Engineering, Engineering (R0)

  • Copyright Information: Springer Berlin Heidelberg 2012

  • Hardcover ISBN: 978-3-642-24662-3Published: 18 October 2011

  • Softcover ISBN: 978-3-642-27015-4Published: 30 November 2013

  • eBook ISBN: 978-3-642-24663-0Published: 08 November 2011

  • Series ISSN: 1434-9922

  • Series E-ISSN: 1860-0808

  • Edition Number: 1

  • Number of Pages: X, 190

  • Topics: Computational Intelligence, Artificial Intelligence

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