國立高雄大學圖資館 |

Language: English

Back

Type-3 fuzzy logic in intelligent control

Record Type:	Electronic resources : Monograph/item
Title/Author:	Type-3 fuzzy logic in intelligent controlby 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$q(electronic bk.)

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$q(electronic bk.)

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

183135
Intelligent control systems.

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

Dewey Class. No.: 629.8

Type-3 fuzzy logic in intelligent control
LDR:02581nmm a2200337 a 4500 001 653971
003 DE-He213
005 20231115182943.0
006 m d
007 cr nn 008maaau
008 240426s2023 sz s 0 eng d
020 $a 9783031460883$q(electronic bk.)
020 $a 9783031460906$q(paper)
024 7 $a 10.1007/978-3-031-46088-3 $2 doi
035 $a 978-3-031-46088-3
040 $a GP $c GP
041 0 $a eng
050 4 $a TJ217.5 $b .C378 2023
072 7 $a UYQ $2 bicssc
072 7 $a TEC009000 $2 bisacsh
072 7 $a UYQ $2 thema
082 0 4 $a 629.8 $2 23
090 $a TJ217.5 $b .C352 2023
100 1 $a Castillo, Oscar. $3 275558
245 1 0 $a Type-3 fuzzy logic in intelligent control $h [electronic resource] / $c by Oscar Castillo, Patricia Melin.
260 $a Cham : $b Springer Nature Switzerland : $b Imprint: Springer, $c 2023.
300 $a viii, 85 p. : $b illustrations (some col.), digital ; $c 24 cm.
490 1 $a SpringerBriefs in computational intelligence, $x 2625-3712
505 0 $a 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.
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.
650 0 $a Intelligent control systems. $3 183135
650 0 $a Fuzzy logic. $3 181981
650 1 4 $a Computational Intelligence. $3 338479
650 2 4 $a Engineering Mathematics. $3 806481
700 1 $a Melin, Patricia. $3 275557
710 2 $a SpringerLink (Online service) $3 273601
773 0 $t Springer Nature eBook
830 0 $a SpringerBriefs in computational intelligence. $3 833227
856 4 0 $u https://doi.org/10.1007/978-3-031-46088-3
950 $a Intelligent Technologies and Robotics (SpringerNature-42732)