Abstract
This paper presents an efficient approach for identification of fourth order nonlinear polynomial Hammerstein models using simplex particle swarm optimization (Simplex-PSO) algorithm. The accuracy of the proposed Simplex PSO based identification scheme has been justified with the optimal value of MSE and the corresponding comparative study with the other reported approaches. The statistical information of the MSE has been provided to justify the consistency of the Simplex-PSO algorithm for identification of Hammerstein model. The estimated parameters along with their corresponding deviations and convergences are shown to justify the efficiency of the proposed identification strategy.
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