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

by Leticia Amador, Oscar Castillo

Overview

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.

Product Details

ISBN-13:	9783319542942
Publisher:	Springer International Publishing
Publication date:	04/29/2017
Series:	SpringerBriefs in Applied Sciences and Technology
Edition description:	1st ed. 2017
Pages:	71
Product dimensions:	6.10(w) x 9.25(h) x (d)

Table of Contents

Introduction.- Theory and Background.- Problems Statement.- Bee Colony Optimization Algorithm.-Simulation results for the Proposed Methods.- Statistical Analysis and Comparison of Results.- Conclusions.