Language:
English
繁體中文
Help
圖資館首頁
Login
Back
Switch To:
Labeled
|
MARC Mode
|
ISBD
Differential evolution algorithm wit...
~
Castillo, Oscar.
Differential evolution algorithm with type-2 fuzzy logic for dynamic parameter adaptation with application to intelligent control
Record Type:
Electronic resources : Monograph/item
Title/Author:
Differential evolution algorithm with type-2 fuzzy logic for dynamic parameter adaptation with application to intelligent controlby Oscar Castillo, Patricia Ochoa, Jose Soria.
Author:
Castillo, Oscar.
other author:
Ochoa, Patricia.
Published:
Cham :Springer International Publishing :2021.
Description:
vii, 61 p. :ill., digital ;24 cm.
Contained By:
Springer Nature eBook
Subject:
Fuzzy logic.
Online resource:
https://doi.org/10.1007/978-3-030-62133-9
ISBN:
9783030621339$q(electronic bk.)
Differential evolution algorithm with type-2 fuzzy logic for dynamic parameter adaptation with application to intelligent control
Castillo, Oscar.
Differential evolution algorithm with type-2 fuzzy logic for dynamic parameter adaptation with application to intelligent control
[electronic resource] /by Oscar Castillo, Patricia Ochoa, Jose Soria. - Cham :Springer International Publishing :2021. - vii, 61 p. :ill., digital ;24 cm. - SpringerBriefs in applied sciences and technology, Computational intelligence. - SpringerBriefs in applied sciences and technology.Computational intelligence..
This book focuses on the fields of fuzzy logic, bio-inspired algorithm, especially the differential evolution algorithm and also considering the fuzzy control area. The main idea is that these two areas together can help solve various control problems and to find better results. In this book, the authors test the proposed method using five benchmark control problems. First, the water tank, temperature, mobile robot, and inverted pendulum controllers are considered. For these 4 problems, experimentation was carried out using a Type-1 fuzzy system and an Interval Type-2 system. The last control problem was the D.C. motor, for which the experiments were performed with Type-1, Interval Type-2, and Generalized Type-2 fuzzy systems. When we use fuzzy systems combined with the differential evolution algorithm, we can notice that the results obtained in each of the controllers are better and with increasing uncertainty, the results are even better. For this reason, the authors consider in this book the proposed method using fuzzy systems and the differential evolution algorithm to improve the fuzzy controllers' behavior in complex control problems.
ISBN: 9783030621339$q(electronic bk.)
Standard No.: 10.1007/978-3-030-62133-9doiSubjects--Topical Terms:
181981
Fuzzy logic.
LC Class. No.: QA9.64 / .C37 2021
Dewey Class. No.: 511.313
Differential evolution algorithm with type-2 fuzzy logic for dynamic parameter adaptation with application to intelligent control
LDR
:02335nmm a2200325 a 4500
001
595983
003
DE-He213
005
20201119191611.0
006
m d
007
cr nn 008maaau
008
211013s2021 sz s 0 eng d
020
$a
9783030621339$q(electronic bk.)
020
$a
9783030621322$q(paper)
024
7
$a
10.1007/978-3-030-62133-9
$2
doi
035
$a
978-3-030-62133-9
040
$a
GP
$c
GP
$e
rda
041
0
$a
eng
050
4
$a
QA9.64
$b
.C37 2021
072
7
$a
UYQ
$2
bicssc
072
7
$a
TEC009000
$2
bisacsh
072
7
$a
UYQ
$2
thema
082
0 4
$a
511.313
$2
23
090
$a
QA9.64
$b
.C352 2021
100
1
$a
Castillo, Oscar.
$3
275558
245
1 0
$a
Differential evolution algorithm with type-2 fuzzy logic for dynamic parameter adaptation with application to intelligent control
$h
[electronic resource] /
$c
by Oscar Castillo, Patricia Ochoa, Jose Soria.
260
$a
Cham :
$b
Springer International Publishing :
$b
Imprint: Springer,
$c
2021.
300
$a
vii, 61 p. :
$b
ill., digital ;
$c
24 cm.
490
1
$a
SpringerBriefs in applied sciences and technology, Computational intelligence
520
$a
This book focuses on the fields of fuzzy logic, bio-inspired algorithm, especially the differential evolution algorithm and also considering the fuzzy control area. The main idea is that these two areas together can help solve various control problems and to find better results. In this book, the authors test the proposed method using five benchmark control problems. First, the water tank, temperature, mobile robot, and inverted pendulum controllers are considered. For these 4 problems, experimentation was carried out using a Type-1 fuzzy system and an Interval Type-2 system. The last control problem was the D.C. motor, for which the experiments were performed with Type-1, Interval Type-2, and Generalized Type-2 fuzzy systems. When we use fuzzy systems combined with the differential evolution algorithm, we can notice that the results obtained in each of the controllers are better and with increasing uncertainty, the results are even better. For this reason, the authors consider in this book the proposed method using fuzzy systems and the differential evolution algorithm to improve the fuzzy controllers' behavior in complex control problems.
650
0
$a
Fuzzy logic.
$3
181981
650
0
$a
Evolution equations.
$3
199049
650
1 4
$a
Computational Intelligence.
$3
338479
650
2 4
$a
Artificial Intelligence.
$3
212515
650
2 4
$a
Control and Systems Theory.
$3
825946
700
1
$a
Ochoa, Patricia.
$3
888557
700
1
$a
Soria, Jose.
$3
888558
710
2
$a
SpringerLink (Online service)
$3
273601
773
0
$t
Springer Nature eBook
830
0
$a
SpringerBriefs in applied sciences and technology.
$p
Computational intelligence.
$3
674590
856
4 0
$u
https://doi.org/10.1007/978-3-030-62133-9
950
$a
Intelligent Technologies and Robotics (SpringerNature-42732)
based on 0 review(s)
ALL
電子館藏
Items
1 records • Pages 1 •
1
Inventory Number
Location Name
Item Class
Material type
Call number
Usage Class
Loan Status
No. of reservations
Opac note
Attachments
000000194671
電子館藏
1圖書
電子書
EB QA9.64 .C352 2021 2021
一般使用(Normal)
On shelf
0
1 records • Pages 1 •
1
Multimedia
Multimedia file
https://doi.org/10.1007/978-3-030-62133-9
Reviews
Add a review
and share your thoughts with other readers
Export
pickup library
Processing
...
Change password
Login