DocumentCode :
1244442
Title :
Stabilization of uncertain linear systems: an LFT approach
Author :
Lu, Wei-Min ; Zhou, Kemin ; Doyle, John C.
Author_Institution :
Dept. of Electr. Eng., California Inst. of Technol., Pasadena, CA, USA
Volume :
41
Issue :
1
fYear :
1996
fDate :
1/1/1996 12:00:00 AM
Firstpage :
50
Lastpage :
65
Abstract :
This paper develops machinery for control of uncertain linear systems described in terms of linear fractional transformations (LFTs) on transform variables and uncertainty blocks with primary focus on stabilization and controller parameterization. This machinery directly generalizes familiar state-space techniques. The notation of Q-stability is defined as a natural type of robust stability, and output feedback stabilizability is characterized in terms of Q-stabilizability and Q-detectability which in turn are related to full information and full control problems. Computation is in terms of convex linear matrix inequalities (LMIs), the controllers have a separation structure, and the parameterization of all stabilizing controllers is characterized as an LFT on a stable, free parameter
Keywords :
feedback; linear systems; matrix algebra; robust control; state-space methods; transforms; uncertain systems; Q-detectability; Q-stability; convex linear matrix inequality; linear fractional transformations; output feedback; parameterization; robust stability; state-space method; uncertain linear systems; uncertainty blocks; Aerodynamics; Control systems; Dynamic scheduling; Linear feedback control systems; Linear systems; Machinery; Output feedback; Robustness; Stability analysis; Uncertainty;
fLanguage :
English
Journal_Title :
Automatic Control, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9286
Type :
jour
DOI :
10.1109/9.481607
Filename :
481607
Link To Document :
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