## Abstract and Applied Analysis

### Event-Based ${H}_{\infty }$ Filter Design for Sensor Networks with Missing Measurements

#### 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 ${H}_{\infty }$ 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.

#### Article information

Source
Abstr. Appl. Anal., Volume 2014, Special Issue (2013), Article ID 512037, 9 pages.

Dates
First available in Project Euclid: 6 October 2014

https://projecteuclid.org/euclid.aaa/1412605911

Digital Object Identifier
doi:10.1155/2014/512037

Mathematical Reviews number (MathSciNet)
MR3176750

Zentralblatt MATH identifier
07022519

#### Citation

Liu, Jinliang; Fei, Shumin; Tian, Engang. Event-Based ${H}_{\infty }$ Filter Design for Sensor Networks with Missing Measurements. Abstr. Appl. Anal. 2014, Special Issue (2013), Article ID 512037, 9 pages. doi:10.1155/2014/512037. https://projecteuclid.org/euclid.aaa/1412605911

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