TY  - JOUR
PB  - Elsevier 
A1  - Donkers, M.C.F.
A1  - Heemels, W.P.M.H.
A1  - Bernardini, Daniele
A1  - Bemporad, Alberto
A1  - Shneer, Vsevolod
SP  - 917
Y1  - 2012/05//
JF  - Automatica
IS  - 5
VL  - 48
SN  - 0005-1098
N2  - In this paper, we study the stability of Networked Control Systems (NCSs) that are subject to time-varying transmission intervals, time-varying transmission delays, packet dropouts and communication constraints. The transmission intervals and transmission delays are described by a sequence of continuous random variables. The complexity that the continuous character of these random variables introduces is overcome using a novel convex overapproximation technique that preserves the available probabilistic information. By focusing on linear plants and controllers, we present a modelling framework for NCSs based on discrete-time linear switched and parameter-varying systems. Stability (in the mean-square) of these systems is analysed using a new stochastic computational technique, resulting in a finite number of linear matrix inequalities. We illustrate the developed theory on the benchmark example of a batch reactor.
KW  - Communication protocols; Networked control systems; Parameter-varying systems; Stochastic control; Switched systems
AV  - none
TI  - Stability analysis of stochastic networked control systems
UR  - http://www.sciencedirect.com/science/article/pii/S0005109812000805
ID  - eprints1005
EP  - 925
ER  -