TY - GEN
T1 - Optimal mean-square performance for MIMO networked systems
AU - Rich, Matt
AU - Elia, Nicola
PY - 2015/7/28
Y1 - 2015/7/28
N2 - This paper addresses optimal mean-square performance for multiple-input multiple-output (MIMO) linear time invariant (LTI) systems subject to exogenous noise and communication losses between the plant and controller. First we derive linear matrix inequalities (LMIs) for analysis of mean-square stability and performance, then we show how a pair of semidefinite programs (SDPs) can be used to convexly find the optimal mean-square performance controller for output feedback scenarios assuming a delayed binary acknowledgment from the actuator receiver is available at the controller.
AB - This paper addresses optimal mean-square performance for multiple-input multiple-output (MIMO) linear time invariant (LTI) systems subject to exogenous noise and communication losses between the plant and controller. First we derive linear matrix inequalities (LMIs) for analysis of mean-square stability and performance, then we show how a pair of semidefinite programs (SDPs) can be used to convexly find the optimal mean-square performance controller for output feedback scenarios assuming a delayed binary acknowledgment from the actuator receiver is available at the controller.
UR - http://www.scopus.com/inward/record.url?scp=84940952725&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84940952725&partnerID=8YFLogxK
U2 - 10.1109/ACC.2015.7172288
DO - 10.1109/ACC.2015.7172288
M3 - Conference contribution
AN - SCOPUS:84940952725
T3 - Proceedings of the American Control Conference
SP - 6040
EP - 6045
BT - ACC 2015 - 2015 American Control Conference
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2015 American Control Conference, ACC 2015
Y2 - 1 July 2015 through 3 July 2015
ER -