LMI-based tracking control for Takagi-Sugeno fuzzy model

نویسندگان

  • Afef Abdelkrim
  • Chekib Ghorbel
  • Mohamed Benrejeb
چکیده

This paper deals with the problem of tracking control for Takagi-Sugeno fuzzy model. An LMI (Linear Matrix Inequality) formulation is suggested to make possible the convergence of the state vector of the continuous-time system to a desired one using a new approach, called MultiQuadratic Fuzzy Lyapunov (MQFL). A fourth order unstable nonlinear system is studied to illustrate the efficiency of this formulation and to compare the corresponding simulation results with the obtained stability conditions based on the quadratic Lyapunov function.

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تاریخ انتشار 2010