A parameter estimation method of nonlinear system

Nonlinear system parameter estimation is a main topic of modern identification. In accordance with the variety of models of nonlinear systems, this paper proposed a general parameter estimation method based on particle swarm optimization algorithm, which can be used in most kinds of nonlinear system model. This method was applied to simulating parameter estimation of several different examples of nonlinear system. The simulation results indicated that the method is effective and feasibilitive.