DocumentCode :
1552282
Title :
System analysis via integral quadratic constraints
Author :
Megretski, Alexandre ; Rantzer, Anders
Author_Institution :
Dept. of Electr. Eng., MIT, Cambridge, MA, USA
Volume :
42
Issue :
6
fYear :
1997
fDate :
6/1/1997 12:00:00 AM
Firstpage :
819
Lastpage :
830
Abstract :
This paper introduces a unified approach to robustness analysis with respect to nonlinearities, time variations, and uncertain parameters. From an original idea by Yakubovich (1967), the approach has been developed under a combination of influences from the Western and Russian traditions of control theory. It is shown how a complex system can be described, using integral quadratic constraints (IQC) for its elementary components. A stability theorem for systems described by IQCs is presented that covers classical passivity/dissipativity arguments but simplifies the use of multipliers and the treatment of causality. A systematic computational approach is described, and relations to other methods of stability analysis are discussed. Last, but not least, the paper contains a summarizing list of IQCs for important types of system components
Keywords :
control nonlinearities; control system analysis; large-scale systems; robust control; time-varying systems; uncertain systems; causality; complex system; dissipativity; integral quadratic constraints; multipliers; nonlinearities; passivity; robustness analysis; stability theorem; system analysis; time variations; uncertain parameters; Computational modeling; Control system synthesis; Control theory; Design engineering; Feedback; Parameter estimation; Power system modeling; Robust stability; Robustness; Stability analysis;
fLanguage :
English
Journal_Title :
Automatic Control, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9286
Type :
jour
DOI :
10.1109/9.587335
Filename :
587335
Link To Document :
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