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On designing event-based H∞ filters for sampled-data systems

conference contribution
posted on 2017-12-06, 00:00 authored by Xian-Ming Zhang, Qing-Long Han
This paper is concerned with the H∞ filtering for sampled-data systems. First, an event-based data packet processor is introduced to release the sampled measurement outputs only if an event condition is violated. As a result, the communication resources can be significantly saved while the desired system performance can be preserved. Second, the resulting filtering error system is modeled as an interval time delay system. By employing Lyapunov-Krasovskii functional method, a new bounded real lemma (BRL) is formulated such that the filtering error system can achieve a prescribed H∞ performance level. Third, by performing an invertible linear transformation on the filtering error system, the corresponding BRL to the transformed filtering error system is obtained, from which, suitable H∞ filters and the threshold parameter in the event condition can be co-designed provided that a set of linear matrix inequalities are feasible. Finally, the effectiveness of the proposed method is demonstrated through a mechanical system with two masses and two springs.


Category 1 - Australian Competitive Grants (this includes ARC, NHMRC)


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Maui, Hawaii, USA


Institute of Electrical and Electronics Engineers Inc., 445 Hoes Lane / P.O. Box 1331

Place of Publication

Piscataway, United States

Peer Reviewed

  • Yes

Open Access

  • No

External Author Affiliations

Centre for Intelligent and Networked Systems (CINS); TBA Research Institute;

Era Eligible

  • Yes

Name of Conference

IEEE Conference on Decision & Control