TY - GEN
T1 - Robust controller interpolation via convex optimization
AU - Hencey, Brandon
AU - Alleyne, Andrew
PY - 2009
Y1 - 2009
N2 - Arbitrarily fast switching or blending among controllers often leads to reduced performance and possible nstability. This paper introduces a controller interpolation framework for optimizing the dynamic transition among controllers with respect to the H norm. Based on the ramework, necessary and sufficient conditions are developed n 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 MIs.
AB - Arbitrarily fast switching or blending among controllers often leads to reduced performance and possible nstability. This paper introduces a controller interpolation framework for optimizing the dynamic transition among controllers with respect to the H norm. Based on the ramework, necessary and sufficient conditions are developed n 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 MIs.
UR - http://www.scopus.com/inward/record.url?scp=70449625605&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=70449625605&partnerID=8YFLogxK
U2 - 10.1109/ACC.2009.5160690
DO - 10.1109/ACC.2009.5160690
M3 - Conference contribution
AN - SCOPUS:70449625605
SN - 9781424445240
T3 - Proceedings of the American Control Conference
SP - 1092
EP - 1097
BT - 2009 American Control Conference, ACC 2009
T2 - 2009 American Control Conference, ACC 2009
Y2 - 10 June 2009 through 12 June 2009
ER -