DocumentCode
116371
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
fYear
2014
fDate
15-17 Dec. 2014
Firstpage
6857
Lastpage
6862
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Decision and Control (CDC), 2014 IEEE 53rd Annual Conference on
Conference_Location
Los Angeles, CA
Print_ISBN
978-1-4799-7746-8
Type
conf
DOI
10.1109/CDC.2014.7040466
Filename
7040466
Link To Document