Predictive control algorithm based on Type-2 T-S fuzzy model and chaotic particle swarm optimization algorithem

In this paper, a predictive control algorithm is presented based on Type-2 fuzzy model and chaotic particle swarm optimization (CPSO) algorithm: using the Type-2 T-S fuzzy model as predictive model, and using CPSO algorithm to solve the optimization index, so the predictive control can avoid complex gradient calculation and matrix inversion, and can quickly to search the optimal solution. Furthermore, in order to improve the effectiveness of Type-2 model, the modified G-K clustering method is applied to determine the clustering number c and clustering centers. For a numerical example, the simulation results show the effectiveness of the algorithm proposed in this paper.