DocumentCode :
2850443
Title :
Decentralized robust control via quadratically invariant model projection
Author :
Jong-Han Kim ; Lall, S. ; Merrill, W. ; Behbahani, A.
Author_Institution :
Dept. of Aeronaut. & Astronaut., Stanford Univ., Stanford, CA, USA
fYear :
2011
fDate :
June 29 2011-July 1 2011
Firstpage :
527
Lastpage :
532
Abstract :
We propose a computational approach to systematically find decentralized H suboptimal controllers for general unstructured models. Exploiting the quadratically in variant model projection and the classical robust control synthesis techniques, we show that the original nonconvex problem can be conservatively solved by a series of convex optimization problems.
Keywords :
H control; control system synthesis; decentralised control; optimisation; robust control; convex optimization problems; decentralized H suboptimal controllers; decentralized robust control; nonconvex problem; quadratically invariant model projection; robust control synthesis techniques; Centralized control; Computational modeling; Convergence; Convex functions; Distributed control; Optimization; Robust control;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
American Control Conference (ACC), 2011
Conference_Location :
San Francisco, CA
ISSN :
0743-1619
Print_ISBN :
978-1-4577-0080-4
Type :
conf
DOI :
10.1109/ACC.2011.5991006
Filename :
5991006
Link To Document :
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