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Event-based H∞ filtering for sampled-data systems

journal contribution
posted on 14.02.2018, 00:00 by XM Zhang, Qing-Long HanQing-Long Han
This paper is concerned with event-based H∞ 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 H∞ 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 H∞ 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 H∞ filtering problem. Consequently, suitable H∞ 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. © 2014 Elsevier Ltd. All rights reserved.

History

Volume

51

Start Page

55

End Page

69

Number of Pages

15

ISSN

0005-1098

Publisher

Pergamon Press

Peer Reviewed

Yes

Open Access

No

External Author Affiliations

Griffith University

Author Research Institute

Centre for Intelligent Systems

Era Eligible

Yes

Journal

Automatica