Title
Stabilization of stochastic linear plants via limited capacity stochastic communication channels
Abstract
The paper considers a stabilization problem involving communication errors and limited data rate. Discrete-time partially observed noisy linear systems are studied. Unlike the classic problem setup, the sensor signals are communicated to the controller over a finite capacity stochastic digital link. Addressed is stabilization in probability by means of realistic controllers that are not only non-anticipating but also consume uniformly bounded (as time progresses) computational complexity and memory per unit time. It is shown that the border of the stabilizability domain is given by the classic Shannon capacity of the channel. A stabilizing controller is explicitly constructed
Year
DOI
Venue
2006
10.1109/CDC.2006.376985
San Diego, CA
Keywords
DocType
ISSN
computational complexity,discrete time systems,information theory,linear systems,stability,stochastic systems,telecommunication channels,telecontrol,shannon capacity,discrete-time,noisy linear systems,sensor signals,stabilization problem,stochastic communication channels,stochastic linear plant,linear system,discrete time,communication channels
Conference
0743-1546
ISBN
Citations 
PageRank 
1-4244-0171-2
3
0.40
References 
Authors
7
2
Name
Order
Citations
PageRank
Matveev, A.S.130.40
Andrey V. Savkin28518.09