Identification of a kind of nonlinear system

The identification of nonlinear system was the main topics in the current international identification fields. In this paper, an identification approach of a kind of nonlinear system is put forward. First, the idea of the method employed a system model composed with classical models so as to transform the system structure identification problem into a combinational problem. Second, a bacterial chemotaxis optimization (BCO) approach is adopted to implement the identification on the system structure and parameters. Finally, to illustrate the rationality and effectiveness of the presented method, simulation examples are included.