Abstract In order to improve the identification accuracy of nonlinear Hammerstein model, a new method of the hybrid optimization algorithm identifying the nonlinear model is put forward. The basic idea of the algorithm is to put the identification problem of parameters in the nonlinear system into a parameter space function optimization problem, and then using hybrid algorithm of the genetic algorithm and the improved particle swarm optimization algorithm to obtain the optimal solution of parameters problem. Finally, the simulation results show that the method for nonlinear identification has good effectiveness and robustness,get a good recognition effect, and is a feasible method to solve the problem of nonlinear recognition.
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2015, Vol. 36 
