• DocumentCode
    1396140
  • Title

    Obtaining robust stability operationally

  • Author

    Maccluer, C.R. ; Chait, Yossi

  • Author_Institution
    Dept. of Math., Michigan State Univ., East Lansing, MI, USA
  • Volume
    35
  • Issue
    12
  • fYear
    1990
  • fDate
    12/1/1990 12:00:00 AM
  • Firstpage
    1350
  • Lastpage
    1351
  • Abstract
    Robust stabilization is studied within the context of time-domain feedback control of single-input-single-output distributed parameter systems using approximate models. Using the operational methods of Mikusinski (1983), one can easily obtain strong versions of several famous theorems on robust stabilization. The operational methods of Mikusinski can play a powerful role in control theory. Using these methods, one is able to avoid the technical difficulties of convergence, existence, inversion, etc. associated with the Laplace transform. Unlike similar estimates obtained via the contraction mapping and small gain theorems, one is able to obtain robust stabilization free of restrictions on the size of certain error operators
  • Keywords
    distributed parameter systems; feedback; stability; time-domain analysis; Mikusinski; SISO systems; distributed parameter systems; feedback; stability; stabilization; time-domain; Context modeling; Control theory; Convergence; Distributed parameter systems; Feedback control; Power system modeling; Robust control; Robust stability; Robustness; Time domain analysis;
  • fLanguage
    English
  • Journal_Title
    Automatic Control, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9286
  • Type

    jour

  • DOI
    10.1109/9.61013
  • Filename
    61013