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Optimization of Type-2 Fuzzy Controllers Using the Bee Colony Algorithm

  • Leticia Amador
  • Oscar Castillo

Part of the SpringerBriefs in Applied Sciences and Technology book series (BRIEFSAPPLSCIENCES)

Also part of the SpringerBriefs in Computational Intelligence book sub series (BRIEFSINTELL)

Table of contents

  1. Front Matter
    Pages i-viii
  2. Leticia Amador, Oscar Castillo
    Pages 1-6
  3. Leticia Amador, Oscar Castillo
    Pages 7-11
  4. Leticia Amador, Oscar Castillo
    Pages 13-21
  5. Leticia Amador, Oscar Castillo
    Pages 23-32
  6. Leticia Amador, Oscar Castillo
    Pages 33-54
  7. Leticia Amador, Oscar Castillo
    Pages 55-56
  8. Leticia Amador, Oscar Castillo
    Pages 57-58
  9. Back Matter
    Pages 59-71

About this book

Introduction

This book focuses on the fields of fuzzy logic, bio-inspired algorithm; especially bee colony optimization algorithm and also considering the fuzzy control area. The main idea is that this areas together can to solve various control problems and to find better results. In this book we test the proposed method using two benchmark problems; the problem for filling a water tank and the problem for controlling the trajectory in an autonomous mobile robot. When Interval Type-2 Fuzzy Logic System is implemented to model the behavior of systems, the results show a better stabilization, because the analysis of uncertainty is better. For this reason we consider in this book the proposed method using fuzzy systems, fuzzy controllers, and bee colony optimization algorithm improve the behavior of the complex control problems.

Keywords

Computational Intelligence Fuzzy Logic Bio-inspired Algorithm Bee Colony Optimization Algorithm Fuzzy Control Type-2 Fuzzy Controllers

Authors and affiliations

  • Leticia Amador
    • 1
  • Oscar Castillo
    • 2
  1. 1.Division of Graduate StudiesTijuana Institute of TechnologyTijuanaMexico
  2. 2.Division of Graduate StudiesTijuana Institute of TechnologyTijuanaMexico

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-54295-9
  • Copyright Information The Author(s) 2017
  • Publisher Name Springer, Cham
  • eBook Packages Engineering
  • Print ISBN 978-3-319-54294-2
  • Online ISBN 978-3-319-54295-9
  • Series Print ISSN 2191-530X
  • Series Online ISSN 2191-5318
  • Buy this book on publisher's site
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