• DocumentCode
    1544653
  • Title

    H∞ fuzzy estimation for a class of nonlinear discrete-time dynamic systems

  • Author

    Tseng, Chung-Shi ; Chen, Bor-Sen

  • Author_Institution
    Dept. of Electr. Eng., Ming Hsin Inst. of Technol., Hsinchu, Taiwan
  • Volume
    49
  • Issue
    11
  • fYear
    2001
  • fDate
    11/1/2001 12:00:00 AM
  • Firstpage
    2605
  • Lastpage
    2619
  • Abstract
    This paper studies H∞ fuzzy filtering design for state estimation of nonlinear discrete-time systems with bounded but unknown disturbances. First, the Takagi and Sugeno (1985) fuzzy model is proposed to represent a nonlinear system. Next, using a linear matrix inequality (LMI) approach, the H∞ fuzzy filtering problems are characterized in terms of a linear matrix inequality problem (LMIP). The LMIP can be efficiently solved using convex optimization techniques. Simulation examples are given to illustrate the design procedure and the applicability of the proposed method. The results indicate that the proposed method is suitable for practical applications
  • Keywords
    H∞ control; H∞ optimisation; discrete time systems; filtering theory; fuzzy systems; matrix algebra; nonlinear systems; state estimation; H∞ fuzzy estimation; H∞ fuzzy filtering design; convex optimization; fuzzy model; linear matrix inequality; nonlinear discrete-time dynamic systems; state estimation; Attenuation; Filtering; Fuzzy systems; Linear matrix inequalities; Noise measurement; Nonlinear equations; Nonlinear filters; Nonlinear systems; Riccati equations; State estimation;
  • fLanguage
    English
  • Journal_Title
    Signal Processing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1053-587X
  • Type

    jour

  • DOI
    10.1109/78.960407
  • Filename
    960407
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1544653