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Type-3 fuzzy logic in intelligent control

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Type-3 fuzzy logic in intelligent control/ by Oscar Castillo, Patricia Melin.
Author:	Castillo, Oscar.
other author:	Melin, Patricia.
Published:	Cham :Springer Nature Switzerland : : 2023.,
Description:	viii, 85 p. :illustrations (some col.), digital ; : 24 cm.;
Contained By:	Springer Nature eBook
Subject:	Intelligent control systems. -
Online resource:	https://doi.org/10.1007/978-3-031-46088-3
ISBN:	9783031460883

Type-3 fuzzy logic in intelligent control
Castillo, Oscar.

Type-3 fuzzy logic in intelligent control[electronic resource] /by Oscar Castillo, Patricia Melin. - Cham :Springer Nature Switzerland :2023. - viii, 85 p. :illustrations (some col.), digital ;24 cm. - SpringerBriefs in computational intelligence,2625-3712. - SpringerBriefs in computational intelligence..

Type-3 Fuzzy Control -- Type-3 Fuzzy Theory -- Review of Type-3 Fuzzy Control -- Approach for Type-3 Fuzzy Control -- Fuzzy Differential Evolution for Optimal Fuzzy Controller Parameterization -- Interval Type-3 Fuzzy Parameter Adaptation in Harmony Search Optimal Controller Design -- Conclusion of Interval Type-3 Fuzzy Control.

This book focuses on the field of type-3 fuzzy logic, also considering metaheuristics for applications in the control area. The main idea is that these areas together can solve various control problems and find better results. In this book, we test the proposed method using several benchmark problems, such as the problem for filling a water tank and the problem for controlling the trajectory in an autonomous mobile robot. We notice that when interval type-3 fuzzy systems are implemented to model the behavior of the systems, the results in control show a better stabilization, because the management of uncertainty is better. For this reason, we consider in this book the proposed method using type-3 fuzzy systems, fuzzy controllers, and metaheuristic algorithms to improve the control behavior of complex nonlinear plants. This book is intended to be a reference for scientists and engineers interested in applying type-3 fuzzy logic techniques for solving problems in intelligent control. We consider that this book can also be used to get novel ideas for new lines of research, or to continue the lines of research proposed by the authors of the book.

ISBN: 9783031460883

Standard No.: 10.1007/978-3-031-46088-3doiSubjects--Topical Terms:

557331
Intelligent control systems.

LC Class. No.: TJ217.5 / .C378 2023

Dewey Class. No.: 629.8

Type-3 fuzzy logic in intelligent control
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520 $a This book focuses on the field of type-3 fuzzy logic, also considering metaheuristics for applications in the control area. The main idea is that these areas together can solve various control problems and find better results. In this book, we test the proposed method using several benchmark problems, such as the problem for filling a water tank and the problem for controlling the trajectory in an autonomous mobile robot. We notice that when interval type-3 fuzzy systems are implemented to model the behavior of the systems, the results in control show a better stabilization, because the management of uncertainty is better. For this reason, we consider in this book the proposed method using type-3 fuzzy systems, fuzzy controllers, and metaheuristic algorithms to improve the control behavior of complex nonlinear plants. This book is intended to be a reference for scientists and engineers interested in applying type-3 fuzzy logic techniques for solving problems in intelligent control. We consider that this book can also be used to get novel ideas for new lines of research, or to continue the lines of research proposed by the authors of the book.
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