• DocumentCode
    434719
  • Title

    H control for discrete-time nonlinear stochastic systems

  • Author

    Berman, Nadav ; Shaked, Uri

  • Author_Institution
    Dept. of Mech. Eng., Ben-Gurion Univ. of the Negev, Beer-Sheva, Israel
  • Volume
    3
  • fYear
    2004
  • fDate
    14-17 Dec. 2004
  • Firstpage
    2578
  • Abstract
    In this paper we develop an H-type theory for a large class of discrete-nonlinear stochastic systems. In particular, we establish a bounded real lemma for this case. We introduce the notion of stochastic dissipative systems, analogously to the familiar notion of dissipation associated with deterministic systems, and utilize it in the derivation of the bounded real lemma. In particular, this bounded real lemma establishes necessary and sufficient conditions, in terms of a certain Hamilton Jacobi inequality (HJI), for a discrete-time nonlinear stochastic system to be an l2-gain ≤ γ. The time-invariant case is also considered, where in this case the bounded real lemma guarantees necessary and sufficient conditions for the system to be l2-gain≤ γ, by means of a solution to a certain algebraic HJI. Stability, in both the mean square sense and in probability, is discussed and a utilization of the linear matrix inequalities (LMIs) technique is made to synthesize a controller that achieves an l2-gain property.
  • Keywords
    H control; control system synthesis; discrete time systems; linear matrix inequalities; nonlinear control systems; stochastic systems; H control; Hamilton Jacobi inequality; algebraic inequalities; bounded real lemma; discrete-time nonlinear stochastic systems; dissipative systems; linear matrix inequalities technique; necessary and sufficient conditions; time-invariant system; Control system synthesis; Control systems; Linear systems; Nonlinear control systems; Stochastic processes; Stochastic resonance; Stochastic systems; Sufficient conditions; Uncertainty; White noise;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Decision and Control, 2004. CDC. 43rd IEEE Conference on
  • ISSN
    0191-2216
  • Print_ISBN
    0-7803-8682-5
  • Type

    conf

  • DOI
    10.1109/CDC.2004.1428846
  • Filename
    1428846