DocumentCode
872638
Title
Information Filtering and Array Algorithms for Descriptor Systems Subject to Parameter Uncertainties
Author
Terra, Marco Henrique ; Ishihara, Jãoo Yoshiyuki ; Padoan, Antonio Carlos, Jr.
Author_Institution
Dept. of Electr. Eng, Univ. de Sao Paulo, Sao Carlos
Volume
55
Issue
1
fYear
2007
Firstpage
1
Lastpage
9
Abstract
This paper presents information filters in Riccati recursions and in array algorithms for descriptor systems subject to parameters uncertainties. The filters are developed in filtered and predicted forms. The inversion of the state matrix is avoided in the new information recursive formulas. Therefore, it turns out clear that the invertibility of the state matrix, usually considered in the state-space information recursions, is not necessary. A numerical example is provided to illustrate the performance of the proposed robust array algorithms
Keywords
Riccati equations; filtering theory; information filtering; matrix algebra; state-space methods; Riccati recursions; array algorithms; descriptor systems; information filtering; parameter uncertainties; state matrix; state-space information recursions; Covariance matrix; Filtering algorithms; Helium; Information filtering; Information filters; Riccati equations; Robustness; Signal processing algorithms; State estimation; Uncertain systems; Array algorithm; Kalman filter; descriptor systems; information filter;
fLanguage
English
Journal_Title
Signal Processing, IEEE Transactions on
Publisher
ieee
ISSN
1053-587X
Type
jour
DOI
10.1109/TSP.2006.885747
Filename
4034251
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