DocumentCode
1638153
Title
BMI Approach to Decentralized and Cooperative Control of Large-Scale System
Author
Li, Cao ; Xiaohong, Nian ; Wenyan, Tang
Author_Institution
Central South Univ., Changsha
fYear
2007
Firstpage
5
Lastpage
9
Abstract
Based on the bilinear matrix inequality (BMI) technique, the problems of designing decentralized controllers and cooperative controllers of linear large-scale systems are considered. Necessary and sufficient conditions of the optimal decentralized and cooperative stabilization of the linear large-scale systems are obtained. The problems of designing decentralized and cooperative controllers are formulated into the non-convex optimization problems with BMI constraints. To solve these problems, the alternate optimized algorithms are proposed. Finally, example is given to illustrate the main results. It shows that a large-scale system can be stabilized via cooperative controllers or decentralized controllers and needs not presumer each subsystem be stable.
Keywords
control system synthesis; decentralised control; matrix algebra; optimisation; BMI approach; bilinear matrix inequality; cooperative control; decentralized controllers designing; linear large-scale systems; nonconvex optimization problems; Centralized control; Constraint optimization; Control systems; Design optimization; Distributed control; Electric variables control; Large-scale systems; Linear matrix inequalities; Stability; Sufficient conditions; BMI; Cooperative control; Decentralized control; Large-scale system; Optimal algorithm;
fLanguage
English
Publisher
ieee
Conference_Titel
Control Conference, 2007. CCC 2007. Chinese
Conference_Location
Hunan
Print_ISBN
978-7-81124-055-9
Electronic_ISBN
978-7-900719-22-5
Type
conf
DOI
10.1109/CHICC.2006.4346792
Filename
4346792
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