Distributed Cooperative Model Predictive Control of Networked Systems

Distributed Cooperative Model Predictive Control of Networked Systems
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Artikel-Nr:
9789811960833
Veröffentl:
2022
Einband:
HC runder Rücken kaschiert
Erscheinungsdatum:
06.10.2022
Seiten:
168
Autor:
Shaoyuan Li
Gewicht:
424 g
Format:
241x160x15 mm
Sprache:
Englisch
Beschreibung:

Yuanyuan Zou is professor of the Department of Automation, Shanghai Jiao Tong University. She received her B.S. degree and M.S. degree from Ludong University in 2002 and 2005, respectively, and her Ph.D. degree from Shanghai Jiao Tong University in 2009. Her research interests include networked distributed control systems and model predictive control, and she has worked in the research area for 10 years. She has published more than 120 papers in journals/conferences and is an associate editor for IET Control Theory & Applications and Asian Journal of Control.
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.
Introduces distributed model predictive control with asynchronous coordination of networked systems
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.

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