Please use this identifier to cite or link to this item: http://hdl.handle.net/1959.13/931588

OpenURL Link
Title
Reduced-order H∞ filtering for discrete-time singular systems with lossy measurements
Author/Creator
Lu, R.;  Su, H.;  Chu, J.;  Zhou, S.;  Fu, M.
Institution
The University of Newcastle. Faculty of Engineering & Built Environment, School of Electrical Engineering and Computer Science
Description
In this study, the authors consider an H∞ filtering problem for discrete-time singular systems with lossy measurements. The authors introduce the stochastic variable satisfying Bernoulli random binary distribution to model the measured outputs. This measurement mode can be used to characterise the effect of data-loss in information transmissions across limited bandwidth communication channels over a wide area. The authors design a filter to cope with the losses, which ensures not only the mean-square stochastic stability but also a prescribed H∞ filtering performance for filtering the error singular system. They also derive sufficient conditions for the existence of such a filter. Finally, the authors give a numerical example to illustrate the effectiveness of the proposed approach.
Relation
IET Control Theory and Applications Vol. 4, Issue 1, p. 151-163
Publisher Link
http://dx.doi.org/10.1049/iet-cta.2008.0007
Date
2010
Publisher
The Institution of Engineering and Technology
Keyword(s)
random communication delays;  linear matrix inequalities;  descriptor systems;  stability
Resource Type
journal article
Identifier
http://hdl.handle.net/1959.13/931588
Identifier
ISSN:1751-8644
Reviewed
Reviewed
1 Visitors 3 Hits 0 Downloads
Save/E-mail Citation
Citation Format
E-mail Address
Subject
"IET Control Theory and Applications"
 
OR