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
Link To Document :
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