語系:
繁體中文
English
說明(常見問題)
圖資館首頁
登入
回首頁
切換:
標籤
|
MARC模式
|
ISBD
Differential evolution algorithm wit...
~
Castillo, Oscar.
Differential evolution algorithm with type-2 fuzzy logic for dynamic parameter adaptation with application to intelligent control
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Differential evolution algorithm with type-2 fuzzy logic for dynamic parameter adaptation with application to intelligent controlby Oscar Castillo, Patricia Ochoa, Jose Soria.
作者:
Castillo, Oscar.
其他作者:
Ochoa, Patricia.
出版者:
Cham :Springer International Publishing :2021.
面頁冊數:
vii, 61 p. :ill., digital ;24 cm.
Contained By:
Springer Nature eBook
標題:
Fuzzy logic.
電子資源:
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)
筆 0 讀者評論
全部
電子館藏
館藏
1 筆 • 頁數 1 •
1
條碼號
館藏地
館藏流通類別
資料類型
索書號
使用類型
借閱狀態
預約狀態
備註欄
附件
000000194671
電子館藏
1圖書
電子書
EB QA9.64 .C352 2021 2021
一般使用(Normal)
在架
0
1 筆 • 頁數 1 •
1
多媒體
多媒體檔案
https://doi.org/10.1007/978-3-030-62133-9
評論
新增評論
分享你的心得
Export
取書館別
處理中
...
變更密碼
登入