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Distributed cooperative model predic...

Zou, Yuanyuan.

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Distributed cooperative model predictive control of networked systems

Record Type:	Electronic resources : Monograph/item
Title/Author:	Distributed cooperative model predictive control of networked systems/ by Yuanyuan Zou, Shaoyuan Li.
Author:	Zou, Yuanyuan.
other author:	Li, Shaoyuan.
Published:	Singapore :Springer Nature Singapore : : 2022.,
Description:	xiii, 152 p. :ill. (chiefly color), digital ;24 cm.
[NT 15003449]:	Introduction -- Distributed Model Predictive Control of Networked Systems with Event-triggered Computation -- Distributed Asynchronous Model Predictive Control of Networked Systems with Event-triggered Communication -- Distributed Dynamic Event-triggered Model Predictive Control of Networked systems -- Distributed Mixed Time/event-triggered Distributed Model Predictive Control of Networked Systems.
Contained By:	Springer Nature eBook
Subject:	Automatic control - Mathematical models. -
Online resource:	https://doi.org/10.1007/978-981-19-6084-0
ISBN:	9789811960840

Distributed cooperative model predictive control of networked systems
Zou, Yuanyuan.

Distributed cooperative model predictive control of networked systems[electronic resource] /by Yuanyuan Zou, Shaoyuan Li. - Singapore :Springer Nature Singapore :2022. - xiii, 152 p. :ill. (chiefly color), digital ;24 cm.

Introduction -- Distributed Model Predictive Control of Networked Systems with Event-triggered Computation -- Distributed Asynchronous Model Predictive Control of Networked Systems with Event-triggered Communication -- Distributed Dynamic Event-triggered Model Predictive Control of Networked systems -- Distributed Mixed Time/event-triggered Distributed Model Predictive Control of Networked Systems.

This book is inspired by the development of distributed model predictive control of networked systems to save computation and communication sources. The significant new contribution is to show how to design efficient DMPCs that can be coordinated asynchronously with the increasing effectiveness of the event-triggering mechanism and how to improve the event-triggered DMPC for different requirements improvement of control performance, extension to interconnected networked systems, etc. The book is likely to be of interest to the persons who are engaged in researching control theory in academic institutes, the persons who go in for developing control systems in R&D institutes or companies, the control engineers who are engaged in the implementation of control algorithms, and people who are interested in the distributed MPC.

ISBN: 9789811960840

Standard No.: 10.1007/978-981-19-6084-0doiSubjects--Topical Terms:

712318
Automatic control
--Mathematical models.

LC Class. No.: TJ213 / .Z68 2022

Dewey Class. No.: 629.8

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245 1 0 $a Distributed cooperative model predictive control of networked systems $h [electronic resource] / $c by Yuanyuan Zou, Shaoyuan Li.
260 $a Singapore : $b Springer Nature Singapore : $b Imprint: Springer, $c 2022.
300 $a xiii, 152 p. : $b ill. (chiefly color), digital ; $c 24 cm.
505 0 $a Introduction -- Distributed Model Predictive Control of Networked Systems with Event-triggered Computation -- Distributed Asynchronous Model Predictive Control of Networked Systems with Event-triggered Communication -- Distributed Dynamic Event-triggered Model Predictive Control of Networked systems -- Distributed Mixed Time/event-triggered Distributed Model Predictive Control of Networked Systems.
520 $a This book is inspired by the development of distributed model predictive control of networked systems to save computation and communication sources. The significant new contribution is to show how to design efficient DMPCs that can be coordinated asynchronously with the increasing effectiveness of the event-triggering mechanism and how to improve the event-triggered DMPC for different requirements improvement of control performance, extension to interconnected networked systems, etc. The book is likely to be of interest to the persons who are engaged in researching control theory in academic institutes, the persons who go in for developing control systems in R&D institutes or companies, the control engineers who are engaged in the implementation of control algorithms, and people who are interested in the distributed MPC.
650 0 $a Automatic control $x Mathematical models. $3 712318
650 0 $a Systems engineering. $3 572511
650 0 $a Automation. $3 633305
650 1 4 $a Control and Systems Theory. $3 3381515
650 2 4 $a Systems Theory, Control. $3 893834
700 1 $a Li, Shaoyuan. $3 3606393
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856 4 0 $u https://doi.org/10.1007/978-981-19-6084-0
950 $a Mathematics and Statistics (SpringerNature-11649)