• DocumentCode
    2463443
  • Title

    Stochastic H control problem with state-dependent noise for multimodeling systems

  • Author

    Mukaidani, Hiroaki ; Dragan, Vasile

  • Author_Institution
    Grad. Sch. of Educ., Hiroshima Univ., Higashi-Hirosihima, Japan
  • fYear
    2009
  • fDate
    10-12 June 2009
  • Firstpage
    4410
  • Lastpage
    4415
  • Abstract
    In this paper, stochastic Hinfin state feedback control with state-dependent noise for multimodeling systems is addressed. After establishing the asymptotic structure of the stochastic multi-modeling algebraic Riccati equation (SMARE), an iterative algorithm that is based on Newton´s method is established. A high-order state feedback controller by means of the obtained iterative solution is given and the degradation of the Hinfin performance is investigated for the stochastic case for the first time. Finally, in order to demonstrate the efficiency of the proposed algorithm, numerical example is given for practical megawatt-frequency control problem.
  • Keywords
    Hinfin control; Newton method; Riccati equations; state feedback; stochastic systems; Newton method; asymptotic structure; high-order state feedback controller; iterative algorithm; practical megawatt-frequency control problem; state-dependent noise; stochastic Hinfin control; stochastic multimodeling algebraic Riccati equation; Control systems; Degradation; Iterative algorithms; Newton method; Riccati equations; State feedback; Stochastic processes; Stochastic resonance; Stochastic systems; Uncertainty;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    American Control Conference, 2009. ACC '09.
  • Conference_Location
    St. Louis, MO
  • ISSN
    0743-1619
  • Print_ISBN
    978-1-4244-4523-3
  • Electronic_ISBN
    0743-1619
  • Type

    conf

  • DOI
    10.1109/ACC.2009.5160059
  • Filename
    5160059