期刊
CIRCUITS SYSTEMS AND SIGNAL PROCESSING
卷 27, 期 5, 页码 699-711出版社
SPRINGER BIRKHAUSER
DOI: 10.1007/s00034-008-9058-3
关键词
multirate systems; linear matrix inequalities; l(2)-l(infinity) filtering; state estimation
For a multirate sample-data system where the output sampling rate is slower than the input updating rate, we study the l(2)-l(infinity) filtering problems for fast state estimation by using the lifted model. The filtering problem is handled in the framework of linear matrix inequalities (LMIs) with a nonconvex constraint, which is numerically solved by the product reduction algorithm. Finally, the effectiveness of the proposed method is illustrated and verified by simulation examples.
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