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
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;
Conference_Titel :
American Control Conference, 2009. ACC '09.
Conference_Location :
St. Louis, MO
Print_ISBN :
978-1-4244-4523-3
Electronic_ISBN :
0743-1619
DOI :
10.1109/ACC.2009.5160690