• DocumentCode
    795921
  • Title

    Deterministic aspects of the identification of linear discrete dynamic systems

  • Author

    Pearson, J.D.

  • Author_Institution
    Research Analysis Corporation, McLean, VA, USA
  • Volume
    12
  • Issue
    6
  • fYear
    1967
  • fDate
    12/1/1967 12:00:00 AM
  • Firstpage
    764
  • Lastpage
    766
  • Abstract
    Ho[2]has shown that problems of identification of state of noisy discrete dynamic systems are closely related to deterministic minimum norm. solutions of a set of overdetermined equations. This paper further applies this philosophy to the recursive identification of the transition matrix of a discrete n th-order linear system, as the number of measurements of the state vector increases from one to N > n .
  • Keywords
    Linear systems, time-invariant discrete-time; System identification; Automatic control; Convergence; H infinity control; Machine learning; Noise measurement; Nonlinear systems; Probes; Sufficient conditions; System identification; Upper bound;
  • fLanguage
    English
  • Journal_Title
    Automatic Control, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9286
  • Type

    jour

  • DOI
    10.1109/TAC.1967.1098750
  • Filename
    1098750
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=795921