Discrete‐time output feedback for Markov jump systems with uncertain transition probabilities |
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Authors: | André R. Fioravanti Alim P.C. Gonçalves José C. Geromel |
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Affiliation: | DSCE/School of Electrical and Computer Engineering, UNICAMP, , Campinas, S?o Paulo, Brazil |
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Abstract: | This article addresses the output feedback control for discrete‐time Markov jump linear systems. With fully known transition probability, sufficient conditions for an internal model based controller design are obtained. For the case where the transition probabilities are uncertain and belong to a convex polytope with known vertices, we provide a sufficient LMI condition that guarantees the norm of the closed‐loop system is below a prescribed level. That condition can be improved through an iterative procedure. Additionally, we are able to deal with the case of cluster availability of the Markov mode, provided that some system matrices do not vary within a given cluster, an assumption that is suitable to deal with packet dropout models for networked control systems. A numerical example shows the applicability of the design and compares it with previous results. Copyright © 2012 John Wiley & Sons, Ltd. |
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Keywords: | discrete‐time systems stochastic systems Markov jump linear systems networked control systems output feedback control uncertain transition probabilities |
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