Stability analysis and stabilization of networked linear systems with random packet losses |
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Authors: | Li Xie LiHua Xie |
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Affiliation: | (5) Department of Electrical and Computer Engineering, Ryerson University, 350 Victoria Street, Toronto, ON, M5B 2K3, Canada |
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Abstract: | This paper is concerned with the stability analysis and stabilization of networked discrete-time and sampled-data linear systems
with random packet losses. Asymptotic stability, mean-square stability, and stochastic stability are considered. For networked
discrete-time linear systems, the packet loss period is assumed to be a finite-state Markov chain. We establish that the mean-square
stability of a related discrete-time system which evolves in random time implies the mean-square stability of the system in
deterministic time by using the equivalence of stability properties of Markovian jump linear systems in random time. We also
establish the equivalence of asymptotic stability for the systems in deterministic discrete time and in random time. For networked
sampled-data systems, a binary Markov chain is used to characterize the packet loss phenomenon of the network. In this case,
the packet loss period between two transmission instants is driven by an identically independently distributed sequence assuming
any positive values. Two approaches, namely the Markov jump linear system approach and randomly sampled system approach, are
introduced. Based on the stability results derived, we present methods for stabilization of networked sampled-data systems
in terms of matrix inequalities. Numerical examples are given to illustrate the design methods of stabilizing controllers. |
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Keywords: | networked sampled-data and discrete-time linear systems Markovian packet losses stability and stabilization Markov jump linearsystems randomly sampled linear systems |
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