Abstract: According to the nonlinear characteristics and time-varying parameters of the stripper temperature control system,support vector machine(SVM) is used to set up a stripper temperature model.Generalized predictive control(GPC) based on SVM predictive model combining the real-time linearization of nonlinear model with the GPC implicit algorithm is proposed.Meantime,the algorithm is applied to the producing process of polyvinyl chloride(PVC) stripper,and the model online regulation is combined with the error feedback regulation.The simulations are made in several circumstances,and the simulation results show the effectiveness of the method.