&amp;#x210C;&lt;inf&gt;&amp;#x221E;&lt;/inf&gt; Filtering of Lipschitz nonlinear systems with network-induced uncertain delays

Charandabi, Behnam Allahverdi; Marquez, Horacio J.

doi:10.1109/cdc.2012.6426516

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“…Some related results for discrete‐time systems were recently presented in and . See also for an earlier version of this work. Remark Throughout this paper, we will focus on the maximization of the Lipschitz constant assuming a given disturbance attenuation gain μ .…”

Section: Filter Designmentioning

confidence: 93%

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filtering of nonlinear plants over networks

Charandabi

Marquez

2013

Intl J Robust & Nonlinear

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SummaryIn this paper, we consider the filtering problem for Lipschitz systems in a networked environment. We assume that the measurements transmitted over the network are subject to quantization, uncertain delays and communication constraints. We first analytically demonstrate how each of the these issues affect the filtering problem. Second, we tackle the filter design as an optimization problem with LMI constraints. The optimization maximizes the Lipschitz constant and thus the region of attraction for which the filter is stable and an scriptHMathClass-rel∞ bound is satisfied by the error system. Copyright © 2013 John Wiley & Sons, Ltd.

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