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2017 | Buch

Introduction Kapitel lesen Erstes Kapitel lesen

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

verfasst von: Leticia Amador, Oscar Castillo

Verlag: Springer International Publishing

Buchreihe : SpringerBriefs in Applied Sciences and Technology

Enthalten in: Springer Professional "Wirtschaft+Technik" , Springer Professional "Technik" , Springer Professional "Wirtschaft"

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Über dieses Buch

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.

Inhaltsverzeichnis

Frontmatter
Chapter 1. Introduction
Abstract
Nowadays the use of fuzzy logic controllers is more common, because of the manner of processing information.
Leticia Amador, Oscar Castillo
Chapter 2. Theory and Background
Abstract
In this chapter we present some basic concepts about the work in order to understand the idea and the context of this book better.
Leticia Amador, Oscar Castillo
Chapter 3. Problem Statements
Abstract
In this chapter, the two problem statements are given and explained.
Leticia Amador, Oscar Castillo
Chapter 4. Bee Colony Optimization Algorithm
Abstract
In this chapter the original bee colony optimization (BCO) and the proposed method (dynamic adaptation of the parameters of bee colony optimization) are explained.
Leticia Amador, Oscar Castillo
Chapter 5. Simulation Results for the Proposed Methods
Abstract
In this chapter simulation results are presented using the proposed method and the two cases of control.
Leticia Amador, Oscar Castillo
Chapter 6. Statistical Analysis and Comparison of Results
Abstract
In this chapter the statistical analysis and comparison of results for each proposed method are explained.
Leticia Amador, Oscar Castillo
Chapter 7. Conclusions
Abstract
In this book the main objective was to develop a modification of the parameters of the bee colony optimization (BCO) algorithm for the optimization of a Type-1 fuzzy logic controller and an Interval Type-2 fuzzy logic controller was introduced. The main characteristics of the BCO algorithm are the exploiting and exploration mechanisms, which prevent the algorithm from stagnating in local optima. Furthermore, we optimized two fuzzy sets, a Type-1 fuzzy logic controller and Interval Type-2 fuzzy logic controller, with the BCO algorithm. An estimate of range for alpha and beta values in the BCO algorithm when it is applied in fuzzy controllers was presented.
Leticia Amador, Oscar Castillo
Backmatter
Metadaten
Titel
Optimization of Type-2 Fuzzy Controllers Using the Bee Colony Algorithm
verfasst von
Leticia Amador
Oscar Castillo
Copyright-Jahr
2017
Electronic ISBN
978-3-319-54295-9
Print ISBN
978-3-319-54294-2
DOI
https://doi.org/10.1007/978-3-319-54295-9