Research on neural network predictive control based on particle swarm optimization

A new nonlinear predictive control algorithm is presented. The radial basis function neural network is used as multi-step predictive model. The particle swarm optimization algorithm is applied to perform the nonlinear optimization to enhance the convergence and accuracy. The simulation results show that the method is effective.