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Robust H∞ filter design for uncertain linear systems over network with network-induced delays and output quantization

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Article published in the journal: Modeling Identification and Control. Also available online from the publisher: http://dx.doi.org/10.4173/mic.2009.1.3 This paper investigates a convex optimization approach to the problem of robust H∞ filtering for uncertain linear systems connected over a common digital communication network. We consider the case where quantizers are static and the parameter uncertainties are norm bounded. Firstly, we propose a new model to investigate the effect of both the output quantization levels and the network conditions. Secondly, by introducing a descriptor technique, using Lyapunov- Krasovskii functional and a suitable change of variables, new required sufficient conditions are established in terms of delay-dependent linear matrix inequalities (LMIs) for the existence of the desired network-based quantized filters with simultaneous consideration of network induced delays and measurement quantization. The explicit expression of the filters is derived to satisfy both asymptotic stability and a prescribed level of disturbance attenuation for all admissible norm bounded uncertainties. © 2009 Norwegian Society of Automatic Control.