• 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