Bernardini, Daniele and Donkers, M.C.F. and Bemporad, Alberto and Heemels, W.P.M.H. A model predictive control approach for stochastic networked control systems. In: 2nd IFAC Workshop on Distributed Estimation and Control in Networked Systems. IFAC. ISBN 978-3-902661-82-1 (2010)
Full text not available from this repository.Abstract
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.
| Item Type: | Book Section |
|---|---|
| Identification Number: | https://doi.org/10.3182/20100913-2-FR-4014.00007 |
| Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science T Technology > TJ Mechanical engineering and machinery |
| Research Area: | Computer Science and Applications |
| Depositing User: | Professor Alberto Bemporad |
| Date Deposited: | 29 Jul 2011 10:18 |
| Last Modified: | 16 Nov 2011 11:50 |
| URI: | http://eprints.imtlucca.it/id/eprint/734 |
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