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

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Optimization of type-2 fuzzy controllers using the bee colony algorithm/ by Leticia Amador, Oscar Castillo.
Author:	Amador, Leticia.
other author:	Castillo, Oscar.
Published:	Cham :Springer International Publishing : : 2017.,
Description:	viii, 71 p. :ill., digital ; : 24 cm.;
Contained By:	Springer eBooks
Subject:	Fuzzy logic. -
Online resource:	http://dx.doi.org/10.1007/978-3-319-54295-9
ISBN:	9783319542959

Optimization of type-2 fuzzy controllers using the bee colony algorithm
Amador, Leticia.

Optimization of type-2 fuzzy controllers using the bee colony algorithm[electronic resource] /by Leticia Amador, Oscar Castillo. - Cham :Springer International Publishing :2017. - viii, 71 p. :ill., digital ;24 cm. - SpringerBriefs in applied sciences and technology,2191-530X. - SpringerBriefs in applied sciences and technology..

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

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.

ISBN: 9783319542959

Standard No.: 10.1007/978-3-319-54295-9doiSubjects--Topical Terms:

528464
Fuzzy logic.

LC Class. No.: QA9.64

Dewey Class. No.: 511.313

Optimization of type-2 fuzzy controllers using the bee colony algorithm
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505 0 $a Introduction -- Theory and Background -- Problems Statement -- Bee Colony Optimization Algorithm -- Simulation results for the Proposed Methods -- Statistical Analysis and Comparison of Results -- Conclusions.
520 $a 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.
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