Language:
English
繁體中文
Help
回圖書館首頁
手機版館藏查詢
Login
Back
Switch To:
Labeled
|
MARC Mode
|
ISBD
Hierarchical type-2 fuzzy aggregatio...
~
Cervantes, Leticia.
Linked to FindBook
Google Book
Amazon
博客來
Hierarchical type-2 fuzzy aggregation of fuzzy controllers
Record Type:
Electronic resources : Monograph/item
Title/Author:
Hierarchical type-2 fuzzy aggregation of fuzzy controllers/ by Leticia Cervantes, Oscar Castillo.
Author:
Cervantes, Leticia.
other author:
Castillo, Oscar.
Published:
Cham :Springer International Publishing : : 2016.,
Description:
viii, 69 p. :ill., digital ;24 cm.
[NT 15003449]:
Theory and Background -- Control Problem and Proposed Method -- Simulation Results -- Conclusions.
Contained By:
Springer eBooks
Subject:
Fuzzy logic. -
Online resource:
http://dx.doi.org/10.1007/978-3-319-26671-8
ISBN:
9783319266718$q(electronic bk.)
Hierarchical type-2 fuzzy aggregation of fuzzy controllers
Cervantes, Leticia.
Hierarchical type-2 fuzzy aggregation of fuzzy controllers
[electronic resource] /by Leticia Cervantes, Oscar Castillo. - Cham :Springer International Publishing :2016. - viii, 69 p. :ill., digital ;24 cm. - SpringerBriefs in applied sciences and technology,2191-530X. - SpringerBriefs in applied sciences and technology..
Theory and Background -- Control Problem and Proposed Method -- Simulation Results -- Conclusions.
This book focuses on the fields of fuzzy logic, granular computing and also considering the control area. These areas can work together to solve various control problems, the idea is that this combination of areas would enable even more complex problem solving and better results. In this book we test the proposed method using two benchmark problems: the total flight control and the problem of water level control for a 3 tank system. When fuzzy logic is used it make it easy to performed the simulations, these fuzzy systems help to model the behavior of a real systems, using the fuzzy systems fuzzy rules are generated and with this can generate the behavior of any variable depending on the inputs and linguistic value. For this reason this work considers the proposed architecture using fuzzy systems and with this improve the behavior of the complex control problems.
ISBN: 9783319266718$q(electronic bk.)
Standard No.: 10.1007/978-3-319-26671-8doiSubjects--Topical Terms:
532071
Fuzzy logic.
LC Class. No.: QA9.64
Dewey Class. No.: 511.3
Hierarchical type-2 fuzzy aggregation of fuzzy controllers
LDR
:01991nmm a2200325 a 4500
001
2029193
003
DE-He213
005
20160722133418.0
006
m d
007
cr nn 008maaau
008
160908s2016 gw s 0 eng d
020
$a
9783319266718$q(electronic bk.)
020
$a
9783319266701$q(paper)
024
7
$a
10.1007/978-3-319-26671-8
$2
doi
035
$a
978-3-319-26671-8
040
$a
GP
$c
GP
041
0
$a
eng
050
4
$a
QA9.64
072
7
$a
UYQ
$2
bicssc
072
7
$a
COM004000
$2
bisacsh
082
0 4
$a
511.3
$2
23
090
$a
QA9.64
$b
.C419 2016
100
1
$a
Cervantes, Leticia.
$3
2180038
245
1 0
$a
Hierarchical type-2 fuzzy aggregation of fuzzy controllers
$h
[electronic resource] /
$c
by Leticia Cervantes, Oscar Castillo.
260
$a
Cham :
$b
Springer International Publishing :
$b
Imprint: Springer,
$c
2016.
300
$a
viii, 69 p. :
$b
ill., digital ;
$c
24 cm.
490
1
$a
SpringerBriefs in applied sciences and technology,
$x
2191-530X
505
0
$a
Theory and Background -- Control Problem and Proposed Method -- Simulation Results -- Conclusions.
520
$a
This book focuses on the fields of fuzzy logic, granular computing and also considering the control area. These areas can work together to solve various control problems, the idea is that this combination of areas would enable even more complex problem solving and better results. In this book we test the proposed method using two benchmark problems: the total flight control and the problem of water level control for a 3 tank system. When fuzzy logic is used it make it easy to performed the simulations, these fuzzy systems help to model the behavior of a real systems, using the fuzzy systems fuzzy rules are generated and with this can generate the behavior of any variable depending on the inputs and linguistic value. For this reason this work considers the proposed architecture using fuzzy systems and with this improve the behavior of the complex control problems.
650
0
$a
Fuzzy logic.
$3
532071
650
0
$a
Granular computing.
$3
590271
650
0
$a
Computational intelligence.
$3
595739
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
Control.
$3
1006321
650
2 4
$a
Logic Design.
$3
892735
700
1
$a
Castillo, Oscar.
$3
855557
710
2
$a
SpringerLink (Online service)
$3
836513
773
0
$t
Springer eBooks
830
0
$a
SpringerBriefs in applied sciences and technology.
$3
1565541
856
4 0
$u
http://dx.doi.org/10.1007/978-3-319-26671-8
950
$a
Engineering (Springer-11647)
based on 0 review(s)
Location:
ALL
電子資源
Year:
Volume Number:
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
W9276457
電子資源
11.線上閱覽_V
電子書
EB QA9.64 .C419 2016
一般使用(Normal)
On shelf
0
1 records • Pages 1 •
1
Multimedia
Reviews
Add a review
and share your thoughts with other readers
Export
pickup library
Processing
...
Change password
Login