• DocumentCode
    391342
  • Title

    On persistent excitation for linear systems with stochastic coefficients

  • Author

    Levanony, David ; Caines, Peter E.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Ben-Gurion Univ., Beer Sheva, Israel
  • Volume
    2
  • fYear
    2002
  • fDate
    10-13 Dec. 2002
  • Firstpage
    2177
  • Abstract
    A Wiener input process is shown to be persistently exciting (PE) for linear stochastic systems with time varying, convergent, random coefficients, provided the asymptotic noise controllability holds. The PE result is in the sense that the minimum eigenvalue of the integrated outer product of the state process is of O(t) (t being the upper time limit of the integral). Application examples are provided.
  • Keywords
    adaptive control; controllability; eigenvalues and eigenfunctions; linear systems; probability; stochastic systems; Wiener process; adaptive control; asymptotic noise; controllability; eigenvalues; linear systems; persistent excitation; probability; stochastic systems; time varying coefficients; Adaptive control; Control systems; Controllability; Eigenvalues and eigenfunctions; Linear systems; Maximum likelihood estimation; Parameter estimation; Stochastic resonance; Stochastic systems; Time varying systems;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Decision and Control, 2002, Proceedings of the 41st IEEE Conference on
  • ISSN
    0191-2216
  • Print_ISBN
    0-7803-7516-5
  • Type

    conf

  • DOI
    10.1109/CDC.2002.1184854
  • Filename
    1184854