Event-Based Filter Design for Sensor Networks with Missing Measurements

Jinliang Liu, Shumin Fei and Engang Tian

Abstract and Applied Analysis, 2014, vol. 2014, 1-9

Abstract:

In order to save network resources and network bandwidth, this paper proposed an event triggered mechanism based on sampled-data information, which has some advantages over existing ones. Considering the missing sensor measurements and the network-induced delay in the transmission, we construct a new event-based filtering by taking the effect of sensor faults with different failure rates. By using the Lyapunov stability theory and the stochastic analysis theory, sufficient criteria are derived for the existence of a solution to the algorithm of the event-based filter design. Finally, an example is exploited to illustrate the effectiveness of the proposed method.

Date: 2014
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Persistent link: https://EconPapers.repec.org/RePEc:hin:jnlaaa:512037

DOI: 10.1155/2014/512037

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