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This paper is concerned with the event-triggered μ∞ filtering problem for networked systems with fading channels. An event indicator variable is constructed and the corresponding event-triggered scheme is proposed, which is based on the relative error with respect to the measurement signal, to determine whether the measurement output is transmitted to the filter or not. The fading channels are described...
In this paper, the H∞ state estimation problem is investigated for a class of stochastic systems with the simultaneous presence of fading measurements and randomly varying nonlinearities (RVNs). A sequence of random variables obeying the Bernoulli distribution is utilized to govern RVNs. The Rice fading model, simultaneously, is employed to describe the phenomena of channel fadings by setting different...
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