%0 Book Section
%A Bernardini, Daniele
%A Donkers, M.C.F.
%A Bemporad, Alberto
%A Heemels, W.P.M.H.
%B 2nd IFAC Workshop on Distributed Estimation and Control in Networked Systems
%D 2010
%F eprints:734
%I IFAC
%T A model predictive control approach for stochastic networked control systems
%U http://eprints.imtlucca.it/734/
%X In this paper we present a stochastic model predictive control (SMPC) approach for networked control systems (NCSs) that are subject to time-varying sampling intervals and time-varying transmission delays. These network-induced uncertain parameters are assumed to be described by random processes, having a bounded support and an arbitrary continuous probability density function. Assuming that the controlled plant can be modeled as a linear system, we present a SMPC formulation based on scenario enumeration and quadratic programming that optimizes a stochastic performance index and provides closed-loop stability in the mean-square sense. Simulation results are shown to demonstrate the performance of the proposed approach.