Abstract: A new identification method of Sugeno's fuzzy model and parallel design for nonlinear system control are presented in this paper. For Sugeno's system identification, It is possible to separate the premise identification from the consequential identification using fuzzy cluster to simplify the calculation. In fact, the Sugeno's fuzzy model is a local linear model of the dynamical nonlinear control system, A parallel design method is proposed, and the total control law can be obtained by fuzzy inference. An inverted pendulum system control example is given to show the effectiveness.