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

fYear

2015

fDate

1-3 July 2015

Firstpage

6040

Lastpage

6045

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;

fLanguage

English

Publisher

ieee

Conference_Titel

American Control Conference (ACC), 2015

Conference_Location

Chicago, IL

Print_ISBN

978-1-4799-8685-9

Type

conf

DOI

10.1109/ACC.2015.7172288

Filename

7172288