Stabilizing fuzzy system models using linear controllers

  • Authors:
  • S. H. Zak

  • Affiliations:
  • Sch. of Electr. & Comput. Eng., Purdue Univ., West Lafayette, IN

  • Venue:
  • IEEE Transactions on Fuzzy Systems
  • Year:
  • 1999

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Abstract

A Lyapunov-based approach is used to derive a sufficiency condition for stabilizing a class of fuzzy system models using linear controllers. A design algorithm for constructing stabilizing linear controllers is given. The results obtained are illustrated with a design of a linear stabilizing controller for a system consisting of an inverted pendulum mounted on a cart. The controller is designed using a fuzzy model of the system and tested on the original system model