東華大學圖書館 |

語系: 繁體中文

說明(常見問題)

回圖書館首頁

手機版館藏查詢

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

Intelligent optimal control for dist...

Zheng, Yi.

FindBook

Google Book

Amazon

博客來

Intelligent optimal control for distributed industrial systems

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Intelligent optimal control for distributed industrial systems/ by Shaoyuan Li, Yi Zheng, Binqiang Xue.
作者:	Li, Shaoyuan.
其他作者:	Zheng, Yi.
出版者:	Singapore :Springer Nature Singapore : : 2023.,
面頁冊數:	viii, 267 p. :ill., digital ;24 cm.
內容註:	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
標題:	Predictive control. -
電子資源:	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)