Title
The Problem of Stabilization of Networked Systems under Computational Power Constraints
Abstract
The paper addresses stabilization under communication errors and limited data rate by means of controllers with bounded (as time progresses) computational powers. Discrete-time partially observed linear systems perturbed by stochastic additive disturbances are studied. The sensor signals are communicated to the controller over a noisy finite capacity link modeled as a stochastic discrete memoryless channel ( DMC ). We study stabilization in probability. It is shown that stability cannot typically be achieved by means of a finite memory decoder-controller so far as the boundary of the corresponding stabilizability domain is given by the zero-error capacity of the channel, which is typically zero. At the same time, stability can be achieved with keeping the expected values of the consumed computational resources bounded: the boundary of the relevant stabilizability domain is given by the ordinary Shannon capacity of the noisy channel, which is typically nonzero.
Year
DOI
Venue
2009
10.3166/ejc.15.449-467
European Journal of Control
Keywords
Field
DocType
capacity constraints,computational resources,control over communication channels,networked systems
Information theory,Linear system,Controllability,Upper and lower bounds,Control theory,Communication channel,Control engineering,Decoding methods,Channel capacity,Mathematics,Bounded function
Journal
Volume
Issue
ISSN
15
3
0947-3580
Citations 
PageRank 
References 
1
0.38
14
Authors
4
Name
Order
Citations
PageRank
AS Matvev110.38
A.V. Savkin210.72
J Reimann310.38
G. Vachtesavanos430.91