DocumentCode :
3078991
Title :
Reduced-order robust controllers: H-balanced truncation and optimal projection
Author :
Mustafa, Denis
Author_Institution :
MIT, Cambridge, MA, USA
fYear :
1990
fDate :
5-7 Dec 1990
Firstpage :
488
Abstract :
Some insights are given regarding the H-balanced truncation and optimal projection methods for reduced-order robust control. After a concise description of the optimal projection approach, it is shown how positive semidefiniteness of the Lagrange multiplier implies a minimized, not just extremized, auxiliary cost. When the results are specialized to the full-order case, it is observed that the apparently redundant fourth optimal projection equation has an important role to play, both in guaranteeing a minimized (not just extremized) auxiliary cost, and in removing nonminimal controller states
Keywords :
control system analysis; feedback; optimal control; Lagrange multiplier; auxiliary cost; balanced truncation; feedback; optimal control; optimal projection; reduced-order robust control; Control systems; Cost function; Entropy; Equations; H infinity control; Lagrangian functions; Optimal control; Optimized production technology; Robust control; Robustness;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Decision and Control, 1990., Proceedings of the 29th IEEE Conference on
Conference_Location :
Honolulu, HI
Type :
conf
DOI :
10.1109/CDC.1990.203646
Filename :
203646
Link To Document :
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