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Optimization of type-2 fuzzy control...

Amador, Leticia.

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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 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.
[NT 15003449]:	Introduction -- Theory and Background -- Problems Statement -- Bee Colony Optimization Algorithm -- Simulation results for the Proposed Methods -- Statistical Analysis and Comparison of Results -- Conclusions.
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:

532071
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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100 1 $a Amador, Leticia. $3 3236414
245 1 0 $a Optimization of type-2 fuzzy controllers using the bee colony algorithm $h [electronic resource] / $c by Leticia Amador, Oscar Castillo.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2017.
300 $a viii, 71 p. : $b ill., digital ; $c 24 cm.
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.
650 0 $a Fuzzy logic. $3 532071
650 0 $a Intelligent control systems. $3 546464
650 1 4 $a Engineering. $3 586835
650 2 4 $a Computational Intelligence. $3 1001631
650 2 4 $a Artificial Intelligence (incl. Robotics) $3 890894
650 2 4 $a Calculus of Variations and Optimal Control; Optimization. $3 898674
650 2 4 $a Control, Robotics, Mechatronics. $3 1002220
650 2 4 $a Algorithms. $3 536374
700 1 $a Castillo, Oscar. $3 855557
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830 0 $a SpringerBriefs in applied sciences and technology. $3 1565541
856 4 0 $u http://dx.doi.org/10.1007/978-3-319-54295-9
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