Dynamic output feedback of networked control systems with partially known Markov chain packet dropouts

Dynamic output feedback of networked control systems with partially known Markov chain packet dropouts

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Article ID: iaor201522448
Volume: 36
Issue: 1
Start Page Number: 29
End Page Number: 44
Publication Date: Jan 2015
Journal: Optimal Control Applications and Methods
Authors: ,
Keywords: networks, optimization, markov processes, queues: theory, networks: flow
Abstract:

In this paper, a class of networked control systems with output feedback control and H performance is discussed. It considers packet dropouts in both measurement (S/C) and actuation (C/A) channels. Markovian chain principle is used in modeling the packet dropouts in S/C and C/A channels. The time scale adopted in these two independent homogeneous Markov chain is linear with the physical time. The model also takes into consideration the late arriving packets. The effect of interaction between packet dropouts in both channels on the stability of system, when the networks of both (S/C) and (C/A) channels overlap is also examined. Sufficient condition for the existence of H output feedback controller is presented and it is shown that it is dependent on the upper bounds of the number of consecutive packet dropouts. The developed stability analysis and control scheme is also investigated with partially known transition probability matrices. Finally, a numerical example has been given to show the effectiveness of developed method.

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