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