Numerical Robust Stability Analysis and Design of Fuzzy Feedback Linearization Regulator

  • Park, Chang-Woo (ICS Lab., Dept. of Electrical and Electronic Eng., Yonsei Univ.) ;
  • Hyun, Chang-Ho (ICS Lab., Dept. of Electrical and Electronic Eng., Yonsei Univ.) ;
  • Kim, Euntai (ICS Lab., Dept. of Electrical and Electronic Eng., Yonsei Univ.) ;
  • Park, Mignon (ICS Lab., Dept. of Electrical and Electronic Eng., Yonsei Univ.)
  • Published : 2002.07.01

Abstract

In this paper, numerical robust stability analysis method and its design are presented. L$_2$robust stability of the fuzzy system is analyzed by casting the systems into the diagonal norm bounded linear differential inclusions (DNLDI) formulation. Based on the linear matix inequality (LMI) optimization programming, a numerical method for finding the maximum stable ranges of the fuzzy feedback linarization control gains is proposed.

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