New chaotic PSO-based neural network predictive control for nonlinear process

作者：Song Ying^*; Chen Zengqiang; Yuan Zhuzhi

来源：IEEE Transactions on Neural Networks, 2007, 18(2): 595-600.

DOI：10.1109/TNN.2006.890809

• neural network (NN)
• nonlinear plant
• particle swarm optimization (PSO)
• predictive control
• tent-map chaos

In this letter, a novel nonlinear neural network (NN) predictive control strategy based on the new tent-map chaotic particle swarm optimization (TCPSO) is presented. The TCPSO incorporating tent-map chaos, which can avoid trapping to local minima and improve the searching performance of standard particle swarm optimization (PSO), is applied to perform the nonlinear optimization to enhance the convergence and accuracy. Numerical simulations of two benchmark functions are used to test the performance of TCPSO. Furthermore, simulation on a nonlinear plant is given to illustrate the effectiveness of the proposed control scheme.

• 出版日期2007-3
• 单位南开大学