DocumentCode
1673643
Title
A BMI approach to the cooperative control of multi-agent systems and optimization
Author
Nian, Xiaohong ; Su, Saijun ; Pan, Huan
Author_Institution
Sch. of Inf. Sci. & Eng., Central South Univ., Changsha, China
fYear
2010
Firstpage
3656
Lastpage
3661
Abstract
This paper focuses on cooperative controller design and optimization problems of multi-agent systems. Based on the method of bilinear matrix inequalities(BMI), the necessary and sufficient conditions for stabilization of multi-agent systems are presented. Then, the optimization design method for cooperative control is also considered with respect to a quadratic performance index. And problems of designing cooperative controller are formulated into the non-convex optimization problems with BMI constraints. Finally, examples are given to illustrate the better effectiveness than the presented results.
Keywords
concave programming; multi-agent systems; optimisation; quadratic programming; BMI approach; bilinear matrix inequality; cooperative control; multiagent system; nonconvex optimization; optimization; quadratic performance index; stabilization; Distributed control; Large-scale systems; Linear matrix inequalities; Multiagent systems; Optimization; Silicon; BMI; Cooperative control; Multi-agent systems; Optimization;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Control and Automation (WCICA), 2010 8th World Congress on
Conference_Location
Jinan
Print_ISBN
978-1-4244-6712-9
Type
conf
DOI
10.1109/WCICA.2010.5553910
Filename
5553910
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