Optimization of type-2 fuzzy controllers using the bee colony algorithm

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 propo...

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Bibliographic Details
Main Authors Amador, Leticia (Author), Castillo, Oscar (Author)
Format Electronic eBook
LanguageEnglish
Published Cham, Switzerland : Springer, 2017.
SeriesSpringerBriefs in applied sciences and technology. Computational intelligence.
Subjects
Fuzzy logic.
Intelligent control systems.
elektronické knihy
electronic books
Online AccessFull text
ISBN9783319542959
9783319542942
ISSN2191-530X
Physical Description1 online resource

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Table of Contents:
  • Preface; Contents; 1 Introduction; References; 2 Theory and Background; 2.1 Fuzzy Inference System; 2.1.1 Type-1 Fuzzy Logic Systems; 2.1.2 Interval Type-2 Fuzzy Logic Systems; 2.2 Fuzzy Controllers; References; 3 Problem Statements; 3.1 Water Tank Controller; 3.1.1 Model Equations of the Water Tank; 3.1.2 Design of the Fuzzy Controller; 3.2 Autonomous Mobile Robot Controller; 3.2.1 General Description of Problem; 3.2.2 Fuzzy Logic Control Design; References; 4 Bee Colony Optimization Algorithm; 4.1 Proposed Method; References; 5 Simulation Results for the Proposed Methods.
  • 5.1 Simulation Results for the Water Tank Controller5.1.1 Results for the Original Bee Colony Optimization Algorithm; 5.1.2 Results for the Fuzzy Bee Colony Optimization Algorithm for the Water Tank Controller; 5.2 Results for the Original BCO for an Autonomous Mobile Robot; 5.2.1 Results for the Fuzzy BCO for an Autonomous Mobile Robot; 6 Statistical Analysis and Comparison of Results; 7 Conclusions; Appendix; Bibliograpy; Index.

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