Title :
Convex synthesis and limitations of mean-square stabilizing controllers for MIMO systems over packet drop networks
Author :
Rich, Matt ; Elia, Nicola
Author_Institution :
Dept. of Electr. & Comput. Eng., Iowa State Univ., Ames, IA, USA
Abstract :
In this paper, we investigate synthesis of linear mean-square stabilizing controllers for multiple-input multiple-output (MIMO) discrete time linear systems over packet drop networks. We consider independent packet drop channels on both the actuator and sensor side of the controller. The main result of this paper is to show that, assuming a delayed acknowledgment from the actuator receiver is available to the controller, a pair of LMI feasibility problems can be used to obtain the mean-square stabilizing controller given fixed channels as well as numerically derive the limitations of mean-square stabilizability in terms of maximal dropout probabilities.
Keywords :
MIMO systems; actuators; convex programming; discrete time systems; linear matrix inequalities; stability; LMI feasibility problems; MIMO discrete time linear systems; actuator receiver; convex synthesis; fixed channels; independent packet drop channels; linear mean-square stabilizing controllers; maximal dropout probabilities; mean-square stabilizability; packet drop networks; Actuators; Closed loop systems; Fading; MIMO; Observers; Output feedback; State feedback;
Conference_Titel :
Decision and Control (CDC), 2014 IEEE 53rd Annual Conference on
Conference_Location :
Los Angeles, CA
Print_ISBN :
978-1-4799-7746-8
DOI :
10.1109/CDC.2014.7040466