The application of genetic algorithms to the identification of the Hammerstein model is studied. The method uses the piecewise linears and not a polynomial to approximate to the memoryless nonlinear characterisation. Numerical simulation results provided show the efficiency of the method.
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H. -X. Li (1999) studied this question.
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