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Optimization of type-2 fuzzy control...

Amador, Leticia.

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

Record Type:	Electronic resources : Monograph/item
Title/Author:	Optimization of type-2 fuzzy controllers using the bee colony algorithmby 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$q(electronic bk.)

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$q(electronic bk.)

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

181981
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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245 1 0 $a Optimization of type-2 fuzzy controllers using the bee colony algorithm $h [electronic resource] / $c by Leticia Amador, Oscar Castillo.
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490 1 $a SpringerBriefs in applied sciences and technology, $x 2191-530X
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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650 2 4 $a Calculus of Variations and Optimal Control; Optimization. $3 274198
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