A fuzzy predictive control algorithm based on discrete optimization and its application to nonlinear systems

A fuzzy predictive control algorithm based on fuzzy model and discrete optimization is presented for a family of complex systems with high nonlinearity. In order to implement nonlinear predictive control of the controlled plant, the T-S fuzzy predictive model is built online using fuzzy clustering and linear identification, and discrete optimization of the control action is implemented according to the principle of branch and bound method. The effectiveness and advantage of the presented algorithm are demonstrated by applying the algorithm to two nonlinear system models.