Title :
Optimal mean-square performance for MIMO networked systems
Author :
Rich, Matt ; Elia, Nicola
Author_Institution :
Dept. of Electr. & Comput. Eng., Iowa State Univ., Ames, IA, USA
Abstract :
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.
Keywords :
MIMO systems; convex programming; feedback; linear matrix inequalities; linear systems; mean square error methods; networked control systems; optimal control; stability; MIMO networked systems; actuator receiver; communication losses; delayed binary acknowledgment; exogenous noise; linear matrix inequalities; mean-square stability; multiple-input multiple-output linear time invariant systems; optimal mean-square performance controller; output feedback scenarios; semidefinite programs; Actuators; Fading; Linear systems; Noise; Output feedback; Receivers; Stochastic processes;
Conference_Titel :
American Control Conference (ACC), 2015
Conference_Location :
Chicago, IL
Print_ISBN :
978-1-4799-8685-9
DOI :
10.1109/ACC.2015.7172288
