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
Intelligent optimal control for dist...
~
Zheng, Yi.
Linked to FindBook
Google Book
Amazon
博客來
Intelligent optimal control for distributed industrial systems
Record Type:
Electronic resources : Monograph/item
Title/Author:
Intelligent optimal control for distributed industrial systems/ by Shaoyuan Li, Yi Zheng, Binqiang Xue.
Author:
Li, Shaoyuan.
other author:
Zheng, Yi.
Published:
Singapore :Springer Nature Singapore : : 2023.,
Description:
viii, 267 p. :ill., digital ;24 cm.
[NT 15003449]:
Status of Research on Networked Distributed Systems -- Moving horizon state estimation for networked systems with Random Packet Loss -- Design of predictive controller for networked systems -- Moving horizon scheduling for networked systems with communication constraints -- Distributed Predictive Control for local performance index -- Coordinated distributed predictive control system -- Distributed Predictive Control under Communication Constraints -- Application of distributed model predictive control in accelerated cooling process.
Contained By:
Springer Nature eBook
Subject:
Predictive control. -
Online resource:
https://doi.org/10.1007/978-981-99-0268-2
ISBN:
9789819902682
Intelligent optimal control for distributed industrial systems
Li, Shaoyuan.
Intelligent optimal control for distributed industrial systems
[electronic resource] /by Shaoyuan Li, Yi Zheng, Binqiang Xue. - Singapore :Springer Nature Singapore :2023. - viii, 267 p. :ill., digital ;24 cm. - Advanced and intelligent manufacturing in China,2731-5991. - Advanced and intelligent manufacturing in China..
Status of Research on Networked Distributed Systems -- Moving horizon state estimation for networked systems with Random Packet Loss -- Design of predictive controller for networked systems -- Moving horizon scheduling for networked systems with communication constraints -- Distributed Predictive Control for local performance index -- Coordinated distributed predictive control system -- Distributed Predictive Control under Communication Constraints -- Application of distributed model predictive control in accelerated cooling process.
This book focuses on the distributed control and estimation of large-scale networked distributed systems and the approach of distributed model predictive and moving horizon estimation. Both principles and engineering practice have been addressed, with more weight placed on engineering practice. This is achieved by providing an in-depth study on several major topics such as the state estimation and control design for the networked system with considering time-delay, data-drop, etc., Distributed MPC design for improving the performance of the overall networked system, which includes several classic strategies for different scenarios, details of the application of the distributed model predictive control to smart grid system and distributed water network. The comprehensive and systematic treatment of theoretical and practical issues in distributed MPC for networked systems is one of the major features of the book, which is particularly suited for readers who are interested to learn practical solutions in distributed estimation and optimization of distributed networked systems. The book benefits researchers, engineers, and graduate students in the fields of chemical engineering, control theory and engineering, electrical and electronic engineering, chemical engineering, and computer engineering, etc. This book is a translation of an original German edition. The translation was done with the help of artificial intelligence (machine translation by the service DeepL.com) A subsequent human revision was done primarily in terms of content, so that the book will read stylistically differently from a conventional translation.
ISBN: 9789819902682
Standard No.: 10.1007/978-981-99-0268-2doiSubjects--Topical Terms:
667592
Predictive control.
LC Class. No.: TJ217.6 / .L5 2023
Dewey Class. No.: 629.8
Intelligent optimal control for distributed industrial systems
LDR
:03315nmm a2200349 a 4500
001
2332287
003
DE-He213
005
20230630163154.0
006
m d
007
cr nn 008maaau
008
240402s2023 si s 0 eng d
020
$a
9789819902682
$q
(electronic bk.)
020
$a
9789819902675
$q
(paper)
024
7
$a
10.1007/978-981-99-0268-2
$2
doi
035
$a
978-981-99-0268-2
040
$a
GP
$c
GP
041
0
$a
eng
050
4
$a
TJ217.6
$b
.L5 2023
072
7
$a
TJFM
$2
bicssc
072
7
$a
GPFC
$2
bicssc
072
7
$a
TEC004000
$2
bisacsh
072
7
$a
TJFM
$2
thema
082
0 4
$a
629.8
$2
23
090
$a
TJ217.6
$b
.L693 2023
100
1
$a
Li, Shaoyuan.
$3
3606393
245
1 0
$a
Intelligent optimal control for distributed industrial systems
$h
[electronic resource] /
$c
by Shaoyuan Li, Yi Zheng, Binqiang Xue.
260
$a
Singapore :
$b
Springer Nature Singapore :
$b
Imprint: Springer,
$c
2023.
300
$a
viii, 267 p. :
$b
ill., digital ;
$c
24 cm.
490
1
$a
Advanced and intelligent manufacturing in China,
$x
2731-5991
505
0
$a
Status of Research on Networked Distributed Systems -- Moving horizon state estimation for networked systems with Random Packet Loss -- Design of predictive controller for networked systems -- Moving horizon scheduling for networked systems with communication constraints -- Distributed Predictive Control for local performance index -- Coordinated distributed predictive control system -- Distributed Predictive Control under Communication Constraints -- Application of distributed model predictive control in accelerated cooling process.
520
$a
This book focuses on the distributed control and estimation of large-scale networked distributed systems and the approach of distributed model predictive and moving horizon estimation. Both principles and engineering practice have been addressed, with more weight placed on engineering practice. This is achieved by providing an in-depth study on several major topics such as the state estimation and control design for the networked system with considering time-delay, data-drop, etc., Distributed MPC design for improving the performance of the overall networked system, which includes several classic strategies for different scenarios, details of the application of the distributed model predictive control to smart grid system and distributed water network. The comprehensive and systematic treatment of theoretical and practical issues in distributed MPC for networked systems is one of the major features of the book, which is particularly suited for readers who are interested to learn practical solutions in distributed estimation and optimization of distributed networked systems. The book benefits researchers, engineers, and graduate students in the fields of chemical engineering, control theory and engineering, electrical and electronic engineering, chemical engineering, and computer engineering, etc. This book is a translation of an original German edition. The translation was done with the help of artificial intelligence (machine translation by the service DeepL.com) A subsequent human revision was done primarily in terms of content, so that the book will read stylistically differently from a conventional translation.
650
0
$a
Predictive control.
$3
667592
650
0
$a
Automatic control.
$3
535879
650
0
$a
Production engineering.
$3
654420
650
1 4
$a
Control and Systems Theory.
$3
3381515
650
2 4
$a
Industrial and Production Engineering.
$3
891024
650
2 4
$a
Communications Engineering, Networks.
$3
891094
700
1
$a
Zheng, Yi.
$3
1034006
700
1
$a
Xue, Binqiang.
$3
3662054
710
2
$a
SpringerLink (Online service)
$3
836513
773
0
$t
Springer Nature eBook
830
0
$a
Advanced and intelligent manufacturing in China.
$3
3633485
856
4 0
$u
https://doi.org/10.1007/978-981-99-0268-2
950
$a
Intelligent Technologies and Robotics (SpringerNature-42732)
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
W9458492
電子資源
11.線上閱覽_V
電子書
EB TJ217.6 .L5 2023
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