• DocumentCode
    702030
  • Title

    On reduced-order H∞ filtering for nonlinear systems with sampled measurements

  • Author

    Li, Yen-Fang ; Yung, Chee-Fai ; Sheu, Hsin-Teng

  • Author_Institution
    Department of Electrical Engineering, Ming Hsin University of Science and Technology, Hsin-Chu, Taiwan
  • fYear
    2003
  • fDate
    1-4 Sept. 2003
  • Firstpage
    1351
  • Lastpage
    1356
  • Abstract
    This paper deals with the reduced-order H∞ filtering problem for nonlinear continuous-time systems with sampled measurements. Using the concepts of dissipativity and differential game, sufficient conditions are derived for the existence of filters that satisfy a specified H∞ performance bound. These conditions are expressed in terms of the solution of a differential Hamilton-Jacobi inequality with jumps. This differential Hamilton-Jacobi inequality is exactly the one used in the construction of full-order H∞ filters. When these conditions hold, state-space formulae are also given for such filters.
  • Keywords
    Games; Maximum likelihood detection; Noise; Noise measurement; Nonlinear filters; Nonlinear systems; Differential game; H∞ filtering; Nonlinear systems; Reduced-order filters; Sampled-data systems;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    European Control Conference (ECC), 2003
  • Conference_Location
    Cambridge, UK
  • Print_ISBN
    978-3-9524173-7-9
  • Type

    conf

  • Filename
    7085149