DocumentCode :
2478023
Title :
Robust controller interpolation via convex optimization
Author :
Hencey, Brandon ; Alleyne, Andrew
Author_Institution :
Sibley Sch. of Mech. & Aerosp. Eng., Cornell Univ., Ithaca, NY, USA
fYear :
2009
fDate :
10-12 June 2009
Firstpage :
1092
Lastpage :
1097
Abstract :
Arbitrarily fast switching or blending among controllers often leads to reduced performance and possible instability. This paper introduces a controller interpolation framework for optimizing the dynamic transition among controllers with respect to the Hinfin norm. Based on the framework, necessary and sufficient conditions are developed in terms of linear matrix inequalities (LMIs). In addition, the framework is also amenable to optimizing the controller interpolation for other control design objectives expressible via LMIs.
Keywords :
Hinfin control; continuous time systems; control system synthesis; interpolation; linear matrix inequalities; linear systems; optimisation; robust control; time-varying systems; Hinfin norm; LMI method; LTI system; control design objective; convex optimization; linear matrix inequality; linear time-invariant system; optimization; robust controller interpolation framework; switching control; Control design; Control systems; Design optimization; Interpolation; Linear matrix inequalities; Robust control; Robust stability; Signal design; Sufficient conditions; Symmetric matrices;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
American Control Conference, 2009. ACC '09.
Conference_Location :
St. Louis, MO
ISSN :
0743-1619
Print_ISBN :
978-1-4244-4523-3
Electronic_ISBN :
0743-1619
Type :
conf
DOI :
10.1109/ACC.2009.5160690
Filename :
5160690
Link To Document :
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