• DocumentCode
    2110116
  • Title

    Robustness of autoregressive systems

  • Author

    Ravi, M.S. ; Rosenthal, Joachim ; Wang, Xiaochang

  • Author_Institution
    Dept. of Math., East Carolina Univ., Greenville, NC, USA
  • fYear
    1993
  • fDate
    15-17 Dec 1993
  • Firstpage
    2878
  • Abstract
    The authors give a quantitative basis for the intuitive principle that “small perturbations” in the parameters of a system do not affect its stability. The authors also indicate a method of defining a metric on the space of all autoregressive systems of McMillan degree at most n
  • Keywords
    matrix algebra; polynomials; stability; stochastic processes; time series; McMillan degree; autoregressive systems; robustness; small perturbations; stability; Art; Closed loop systems; Computational Intelligence Society; Educational institutions; Mathematics; Polynomials; Robustness; Stability; Upper bound;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Decision and Control, 1993., Proceedings of the 32nd IEEE Conference on
  • Conference_Location
    San Antonio, TX
  • Print_ISBN
    0-7803-1298-8
  • Type

    conf

  • DOI
    10.1109/CDC.1993.325723
  • Filename
    325723
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2110116