• DocumentCode
    313863
  • Title

    Robust H2/LQG control for systems with finite-signal-to-noise uncertainty: a convergent algorithm

  • Author

    Lu, Jianbo ; Skelton, Robert E.

  • Author_Institution
    Structural Syst. & Control Lab., Purdue Univ., West Lafayette, IN, USA
  • Volume
    5
  • fYear
    1997
  • fDate
    4-6 Jun 1997
  • Firstpage
    3505
  • Abstract
    Finite-signal-to-noise ratio phenomenon is very common in electromechanical systems, digital implementation, instrumentation and controlled systems. In this paper, the robust H2/LQG control problem for this finite-signal-to-noise model is studied. An iterative but convergent algorithm is proposed
  • Keywords
    H∞ control; convergence; iterative methods; linear quadratic Gaussian control; robust control; uncertain systems; controlled systems; convergent algorithm; digital implementation; electromechanical systems; finite S/NR uncertainty; finite-signal-to-noise uncertainty; instrumentation; iterative algorithm; robust H2/LQG control; Control systems; Iterative algorithms; Optimal control; Robust control; Robust stability; Signal to noise ratio; Steady-state; Stochastic processes; Uncertainty; White noise;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    American Control Conference, 1997. Proceedings of the 1997
  • Conference_Location
    Albuquerque, NM
  • ISSN
    0743-1619
  • Print_ISBN
    0-7803-3832-4
  • Type

    conf

  • DOI
    10.1109/ACC.1997.612120
  • Filename
    612120
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=313863