### Samenvatting

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 timevarying 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.

Originele taal-2 | Engels |
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Titel | Proceedings of the 2nd IFAC Workshop on Estimation and Control of Networked Systems |

Plaats van productie | France, Annecy |

Pagina's | 7-12 |

Status | Gepubliceerd - 2010 |

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## Citeer dit

Bernardini, D., Donkers, M. C. F., Bemporad, A., & Heemels, W. P. M. H. (2010). A model predictive control approach for stochastic networked control systems. In

*Proceedings of the 2nd IFAC Workshop on Estimation and Control of Networked Systems*(blz. 7-12).