• DocumentCode
    2413392
  • Title

    Numerical methods for robust control design for distributed parameter systems

  • Author

    Fabiano, R.H. ; Kurdila, A.J. ; Kim, C.

  • Author_Institution
    Texas A&M Univ., College Station, TX, USA
  • fYear
    1992
  • fDate
    1992
  • Firstpage
    1172
  • Abstract
    The authors discuss a numerical method for constructing feedback control laws which are robust with respect to disturbances or structured uncertainties. They show that known convergence results for the standard linear quadratic regulator problem may be implemented and used as the basis for a numerical method for constructing control laws. For the case of structured uncertainties, they show that results of J.L. Speyer and I. Rhee (1990) for the finite-dimensional case can be extended to infinite dimensions. Their approach is to take advantage of the factorization of the structured uncertainty so that the uncertainty is treated as a disturbance. A differential game framework is then applied. Numerical examples are presented
  • Keywords
    control system synthesis; distributed parameter systems; feedback; game theory; optimal control; convergence; differential game; distributed parameter systems; disturbances; factorization; feedback control; linear quadratic regulator; numerical method; robust control design; structured uncertainties; Convergence of numerical methods; Differential algebraic equations; Distributed parameter systems; Feedback control; Game theory; Hilbert space; Hydrogen; Mathematics; Regulators; Riccati equations; Robust control; Uncertainty;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Decision and Control, 1992., Proceedings of the 31st IEEE Conference on
  • Conference_Location
    Tucson, AZ
  • Print_ISBN
    0-7803-0872-7
  • Type

    conf

  • DOI
    10.1109/CDC.1992.371532
  • Filename
    371532