Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
7110026 | Automatica | 2015 | 15 Pages |
Abstract
This paper is concerned with event-based Hâ filtering for sampled-data systems. First, an event-based data packet processor is introduced to release sampled measurement outputs only if an event condition is violated. As a result, communication resources can be saved significantly while preserving the desired Hâ performance. Second, the resulting filtering error system is modeled as a system with an interval time-varying delay. By employing the Lyapunov-Krasovskii functional approach, a new bounded real lemma (BRL) is established such that the filtering error system is asymptotically stable with the prescribed Hâ performance. Third, by performing an invertible linear transformation on the filtering error system, a linear matrix inequality (LMI)-based sufficient condition, which is equivalent to the condition in the BRL, is obtained on the feasibility of the event-based Hâ filtering problem. Consequently, suitable Hâ filters and the event parameters in the event condition can be co-designed provided that a set of LMIs are satisfied. Finally, a mechanical system with two masses and two springs is given to show the effectiveness of the proposed method.
Keywords
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Physical Sciences and Engineering
Engineering
Control and Systems Engineering
Authors
Xian-Ming Zhang, Qing-Long Han,