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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 ZhangXian-Ming Zhang, Qing-Long HanQing-Long HanThis 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.
Funding
Category 1 - Australian Competitive Grants (this includes ARC, NHMRC)
History
Start Page
6048End Page
6053Number of Pages
6Start Date
2012-01-01Finish Date
2012-01-01ISSN
0191-2216Location
Maui, Hawaii, USAPublisher
Institute of Electrical and Electronics Engineers Inc., 445 Hoes Lane / P.O. Box 1331Place of Publication
Piscataway, United StatesFull Text URL
Peer Reviewed
- Yes
Open Access
- No
External Author Affiliations
Centre for Intelligent and Networked Systems (CINS); TBA Research Institute;Era Eligible
- Yes