Paper Info
Title
On stabilizability of MIMO systems over parallel noisy channels
Abstract
In this paper we study the mean square stabilizability of MIMO discrete-time linear time-invariant plants over parallel additive white noise channels. We also consider a basic linear encoder-decoder scheme based on the design of a diagonal scaling matrix. We analyse the case of non minimum phase plants in an output feedback control setting. We obtain necessary and sufficient conditions for mean square stabilization when each SISO branch of the channel is subject to an individual signal-to-noise ratio constraint. We characterize a region where the set of constraints are compatible with mean square stability.
Year
DOI
Venue
2014
10.1109/CDC.2014.7040340
Decision and Control
Keywords
Field
DocType
MIMO systems,discrete time systems,encoding,feedback,mean square error methods,stability,white noise,MIMO discrete-time linear time-invariant plants,MIMO systems,SISO branch,diagonal scaling matrix,individual signal-to-noise ratio constraint,linear encoder-decoder scheme,mean square stabilizability,mean square stabilization,necessary and sufficient conditions,output feedback control setting,parallel additive white noise channels
Diagonal,Mean square,Mimo systems,Control theory,Communication channel,MIMO,White noise,Scaling,Minimum phase,Mathematics
Conference
ISSN
Citations 
PageRank 
0743-1546
0
0.34
References 
Authors
0
3
Name
Order
Citations
PageRank
Francisco J. Vargas1184.15
Jie Chen 0005200.34
Eduardo I. Silva319717.48