• DocumentCode
    181492
  • Title

    Optimal filtering of deterministic information in multivariate stationary measuring system with ivariety in dynamic models of its units and signals

  • Author

    Blokhin, L.N. ; Ermolaeva, O.V. ; Prokofieva, I.Yu.

  • Author_Institution
    Aircraft Control Syst. Dept., Nat. Aviation Univ., Kiev, Ukraine
  • fYear
    2014
  • fDate
    14-17 Oct. 2014
  • Firstpage
    143
  • Lastpage
    146
  • Abstract
    The paper presents a new algorithm of optimal structural synthesis for a filter-observer of deterministic information in multivariate stationary measuring system. The algorithm considers possibility of any unit or signal in such system to be dynamically various (to be unstable, non-minimal-phase etc.).
  • Keywords
    deterministic algorithms; filtering theory; observers; deterministic information; dynamic models; filter-observer; multivariate stationary measuring system; optimal filtering; optimal structural synthesis; Estimation; Filtering algorithms; Heuristic algorithms; Measurement uncertainty; Motion control; Navigation; Vectors; deterministic information; filter-observer; optimal synthesis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Methods and Systems of Navigation and Motion Control (MSNMC), 2014 IEEE 3rd International Conference on
  • Conference_Location
    Kiev
  • Print_ISBN
    978-1-4799-6578-6
  • Type

    conf

  • DOI
    10.1109/MSNMC.2014.6979754
  • Filename
    6979754