DocumentCode :
768847
Title :
Optimal filtering for multirate systems
Author :
Sheng, Jie ; Chen, Tongwen ; Shah, Sirish L.
Author_Institution :
Dept. of Electr. & Comput. Eng., Univ. of Alberta, Edmonton, Alta., Canada
Volume :
52
Issue :
4
fYear :
2005
fDate :
4/1/2005 12:00:00 AM
Firstpage :
228
Lastpage :
232
Abstract :
For a multirate system where the output sampling is slower than the input updating, this brief aims at designing filters for fast state estimation in the H2 and H settings. Because of the multirate nature, linear matrix inequality solutions to the design problems involve a nonconvex constraint, which is numerically tackled by the product reduction algorithm. Finally, a design example is given and the effectiveness of the approach is illustrated.
Keywords :
filtering theory; linear matrix inequalities; state estimation; design problems; fast state estimation; linear matrix inequality; multirate systems; nonconvex constraint; optimal filtering; product reduction algorithm; Algorithm design and analysis; Control design; Control systems; Information filtering; Information filters; Iterative algorithms; Linear matrix inequalities; Riccati equations; Sampling methods; State estimation; Linear matrix inequalities (LMIs); multirate systems; optimal filtering; state estimation;
fLanguage :
English
Journal_Title :
Circuits and Systems II: Express Briefs, IEEE Transactions on
Publisher :
ieee
ISSN :
1549-7747
Type :
jour
DOI :
10.1109/TCSII.2004.842009
Filename :
1417094
Link To Document :
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