Direct Adaptive Fuzzy Predictive Control for a Class of Unknown Nonlinear Discrete Systems
一类未知非线性离散系统的直接自适应模糊预测控制

A direct adaptive fuzzy predictive control method for a class of unknown nonlinear discrete systems is presented by introducing adaptive fuzzy logic system into the predictive control strategy. In this method,the plant is represented by a predictive model of a linear time varying submodel plus a nonlinear submodel, then a fuzzy logic system is used to design the controller directly. The controller parameters and unknown vectors in the estimation of generalized error are adjusted adaptively. It is proved that the proposed method can make the estimation of generalized error converge to a small neighborhood of the origin.