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Robust H∞ filtering for a class of uncertain linear systems with time-varying delay

journal contribution
posted on 2017-12-06, 00:00 authored by Xian-Ming Zhang, Qing-Long Han
This paper deals with the problem of delay-dependent robust H∞ filtering for uncertain linear systems with time-varying delay. Two cases of time-varying delays are fully considered; one is the time-varying delay being continuous uniformly bounded while the other is the time-varying delay being differentiable uniformly bounded with delay-derivative bounded by a constant. A stable linear filter is designed to ensure that the filtering error system is asymptotically stable with a prescribed level of H∞ noise attenuation. Based on a new integral inequality, delay-dependent sufficient conditions for the existence of such a filter are established in terms of linear matrix inequalities (LMIs). Through deriving these conditions, neither model transformation nor bounding technique for cross terms is employed. Moreover, the relationship between the sufficient conditions for the two cases of time-varying delay is disclosed. Finally, two examples are also given to illustrate the effectiveness of the proposed methodology.

Funding

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

History

Volume

44

Issue

1

Start Page

157

End Page

166

Number of Pages

10

ISSN

0005-1098

Location

United Kingdom

Publisher

Elsevier Ltd

Language

en-aus

Peer Reviewed

  • Yes

Open Access

  • No

External Author Affiliations

Faculty of Business and Informatics; Institute for Resource Industries and Sustainability (IRIS);

Era Eligible

  • Yes

Journal

Automatica.