Language:
English
繁體中文
Help
圖資館首頁
Login
Back
Switch To:
Labeled
|
MARC Mode
|
ISBD
Advances in state estimation, diagno...
~
SpringerLink (Online service)
Advances in state estimation, diagnosis and control of complex systems
Record Type:
Electronic resources : Monograph/item
Title/Author:
Advances in state estimation, diagnosis and control of complex systemsby Ye Wang.
Author:
Wang, Ye.
Published:
Cham :Springer International Publishing :2021.
Description:
xxvii, 237 p. :ill., digital ;24 cm.
Contained By:
Springer Nature eBook
Subject:
Automatic controlMathematics.
Online resource:
https://doi.org/10.1007/978-3-030-52440-1
ISBN:
9783030524401$q(electronic bk.)
Advances in state estimation, diagnosis and control of complex systems
Wang, Ye.
Advances in state estimation, diagnosis and control of complex systems
[electronic resource] /by Ye Wang. - Cham :Springer International Publishing :2021. - xxvii, 237 p. :ill., digital ;24 cm. - Springer theses,2190-5053. - Springer theses..
Introduction -- Set-based State Estimation Approaches for Descriptor Systems -- Distributed Set-membership Approach based on Zonotopes -- Set-based Fault Detection and Isolation for Descriptor Systems -- Set-based Fault Estimation for Descriptor Systems.
This book presents theoretical and practical findings on the state estimation, diagnosis and control of complex systems, especially in the mathematical form of descriptor systems. The research is fully motivated by real-world applications (i.e., Barcelona's water distribution network), which require control systems capable of taking into account their specific features and the limits of operations in the presence of uncertainties stemming from modeling errors and component malfunctions. Accordingly, the book first introduces a complete set-based framework for explicitly describing the effects of uncertainties in the descriptor systems discussed. In turn, this set-based framework is used for state estimation and diagnosis. The book also presents a number of application results on economic model predictive control from actual water distribution networks and smart grids. Moreover, the book introduces a fault-tolerant control strategy based on virtual actuators and sensors for such systems in the descriptor form.
ISBN: 9783030524401$q(electronic bk.)
Standard No.: 10.1007/978-3-030-52440-1doiSubjects--Topical Terms:
274653
Automatic control
--Mathematics.
LC Class. No.: TJ213 / .W35 2021
Dewey Class. No.: 629.80151
Advances in state estimation, diagnosis and control of complex systems
LDR
:02302nmm a2200337 a 4500
001
594912
003
DE-He213
005
20200730130559.0
006
m d
007
cr nn 008maaau
008
211005s2021 sz s 0 eng d
020
$a
9783030524401$q(electronic bk.)
020
$a
9783030524395$q(paper)
024
7
$a
10.1007/978-3-030-52440-1
$2
doi
035
$a
978-3-030-52440-1
040
$a
GP
$c
GP
041
0
$a
eng
050
4
$a
TJ213
$b
.W35 2021
072
7
$a
TJFM
$2
bicssc
072
7
$a
TEC004000
$2
bisacsh
072
7
$a
TJFM
$2
thema
082
0 4
$a
629.80151
$2
23
090
$a
TJ213
$b
.W246 2021
100
1
$a
Wang, Ye.
$3
887042
245
1 0
$a
Advances in state estimation, diagnosis and control of complex systems
$h
[electronic resource] /
$c
by Ye Wang.
260
$a
Cham :
$b
Springer International Publishing :
$b
Imprint: Springer,
$c
2021.
300
$a
xxvii, 237 p. :
$b
ill., digital ;
$c
24 cm.
490
1
$a
Springer theses,
$x
2190-5053
505
0
$a
Introduction -- Set-based State Estimation Approaches for Descriptor Systems -- Distributed Set-membership Approach based on Zonotopes -- Set-based Fault Detection and Isolation for Descriptor Systems -- Set-based Fault Estimation for Descriptor Systems.
520
$a
This book presents theoretical and practical findings on the state estimation, diagnosis and control of complex systems, especially in the mathematical form of descriptor systems. The research is fully motivated by real-world applications (i.e., Barcelona's water distribution network), which require control systems capable of taking into account their specific features and the limits of operations in the presence of uncertainties stemming from modeling errors and component malfunctions. Accordingly, the book first introduces a complete set-based framework for explicitly describing the effects of uncertainties in the descriptor systems discussed. In turn, this set-based framework is used for state estimation and diagnosis. The book also presents a number of application results on economic model predictive control from actual water distribution networks and smart grids. Moreover, the book introduces a fault-tolerant control strategy based on virtual actuators and sensors for such systems in the descriptor form.
650
0
$a
Automatic control
$x
Mathematics.
$3
274653
650
0
$a
Observers (Control theory)
$v
Congresses.
$3
443792
650
1 4
$a
Control and Systems Theory.
$3
825946
650
2 4
$a
Complexity.
$3
274400
650
2 4
$a
Energy Systems.
$3
512090
710
2
$a
SpringerLink (Online service)
$3
273601
773
0
$t
Springer Nature eBook
830
0
$a
Springer theses.
$3
557607
856
4 0
$u
https://doi.org/10.1007/978-3-030-52440-1
950
$a
Engineering (SpringerNature-11647)
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
000000195057
電子館藏
1圖書
電子書
EB TJ213 .W246 2021 2021
一般使用(Normal)
On shelf
0
1 records • Pages 1 •
1
Multimedia
Multimedia file
https://doi.org/10.1007/978-3-030-52440-1
Reviews
Add a review
and share your thoughts with other readers
Export
pickup library
Processing
...
Change password
Login