• DocumentCode
    1660102
  • Title

    Parallel Kalman filter algorithm for state estimation in bilinear systems

  • Author

    Glielmo, L. ; Marino, P. ; Setola, R. ; Vasca, F.

  • Author_Institution
    Dipartimento di Inf. e Sistemistica, Naples Univ., Italy
  • Volume
    2
  • fYear
    1994
  • Firstpage
    1228
  • Abstract
    In this paper an algorithm for the state estimation of a class of bilinear systems in the presence of noise is proposed. The systems considered are such that a suitable partition of the state vector into two parts allows a bilinear representation of the system. The proposed algorithm is obtained paralleling two Kalman filters: each of them estimates a part of the state, considering the other part as known time-varying parameters
  • Keywords
    Kalman filters; bilinear systems; discrete time systems; nonlinear control systems; parallel algorithms; state estimation; bilinear systems; parallel Kalman filter algorithm; state estimation; state vector partition; time-varying parameters; Electronic mail; Equations; Game theory; Nonlinear filters; Nonlinear systems; Partitioning algorithms; State estimation; Time varying systems; Vectors; White noise;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Decision and Control, 1994., Proceedings of the 33rd IEEE Conference on
  • Conference_Location
    Lake Buena Vista, FL
  • Print_ISBN
    0-7803-1968-0
  • Type

    conf

  • DOI
    10.1109/CDC.1994.411162
  • Filename
    411162
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1660102