Study on Method of Nonlinear System Identification

This paper investigates an identification approach of nonlinear system. Its basic idea of the method adopts a system model composed with classical models so as to change the system structure identification problem into a combinational problem. The hybrid algorithm of bacterial foraging optimization and particle swarm optimization technique is then applied to implement the identification on the system´s structure and parameters. Finally, compared with particle swarm optimization algorithm, its results illustrate the rationality and effectiveness of the presented method.