Network-based \(H_\infty\) filtering using a logic jumping-like trigger.

*(English)*Zbl 1319.93076Summary: This paper is concerned with the network-based \(H_\infty\) filtering for a stochastic system, where data transmission from the stochastic system to a filter is completed via a communication network. Network-induced delays, packet dropouts and packet disorders are unavoidable due to the use of the network. First, a logic zero-order-hold (ZOH) is designed to discard the disordered packets actively. The network-induced delays and packet dropouts are modeled as an interval time-varying delay. By decomposing the delay interval into \(N\) subintervals uniformly, the filter to be designed is modeled as a Markov jumping filter with \(N\) modes governed by a Markov chain. In order to work out the transition rate from one mode to another, a logic jumping-like trigger is embedded into the logic ZOH to simulate the switching of the Markov process. Second, based on the Markov jumping filter model together with a new integral inequality in the stochastic setting, a novel bounded real lemma is presented to ensure that the resultant filtering error system is mean exponentially stable with a prescribed \(H_\infty\) performance. Then, a sufficient condition on the existence of desired Markov jumping filters is provided in terms of a set of linear matrix inequalities. Finally, an air vehicle system is employed to show effectiveness of the proposed design method.

##### Keywords:

stochastic systems; network-based \(H_\infty\) filtering; Markov jumping model; logic jumping-like triggers
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\textit{X.-M. Zhang} and \textit{Q.-L. Han}, Automatica 49, No. 5, 1428--1435 (2013; Zbl 1319.93076)

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##### References:

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