• DocumentCode
    2848469
  • Title

    Robust H hybrid estimation for continuous linear time-varying uncertain systems with known input

  • Author

    You, Fuqiang ; Wang, Fuli ; Guan, Shouping

  • Author_Institution
    Sch. of Inf. Sci. & Eng., Northeastern Univ., Shenyang, China
  • fYear
    2010
  • fDate
    26-28 May 2010
  • Firstpage
    2219
  • Lastpage
    2222
  • Abstract
    This letter presents an approach to deal with robust H state and input hybrid estimation for continuous linear time-varying systems, where norm-bounded parameter uncertainty is appeared in the state and output matrices and a known input is incorporated in the state-space model. The known input will influence the estimation due to parameter uncertainty. Using differential game theory approach, a sufficient solvable condition for the problem is proposed as well as a design method for the optimal estimator. Compared with those based on nominal systems, the proposed approach significantly improves the estimator´s robustness to parameter uncertainty and known input. One simulation example about a second-order resonant system illustrates the effectiveness of such an approach.
  • Keywords
    H control; continuous time systems; linear systems; matrix algebra; robust control; state-space methods; time-varying systems; uncertain systems; continuous linear time-varying uncertain systems; differential game theory approach; nominal systems; norm-bounded parameter uncertainty; optimal estimator; parameter uncertainty; robust H hybrid estimation; second-order resonant system; state-output matrices; state-space model; Filtering theory; Game theory; Parameter estimation; Q measurement; Robustness; Smoothing methods; State estimation; Time varying systems; Uncertain systems; Uncertainty; Estimation; Game theory; H optimization; Linear time-varying system; Robustness;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control and Decision Conference (CCDC), 2010 Chinese
  • Conference_Location
    Xuzhou
  • Print_ISBN
    978-1-4244-5181-4
  • Electronic_ISBN
    978-1-4244-5182-1
  • Type

    conf

  • DOI
    10.1109/CCDC.2010.5498859
  • Filename
    5498859