Social emotional optimization algorithm based identification of nonlinear hammerstein model
In this paper an efficient and accurate approach for identification of Hammerstein model has been proposed using Social Emotional Optimization Algorithm (SEOA) In SEOA method, behaviour of human being for attaining superior position in society is structured. The accuracy of the proposed SEOA based identification scheme has been justified with the optimal value of MSE and their corresponding comparative study with the other approaches reported earlier. The statistical information of the MSE has also been provided to justify consistency of the SEOA algorithm for identification of Hammerstein model. The estimated parameters along with their corresponding deviations and convergences are shown to justify efficiency of the proposed identification strategy.
2016 International Conference on Communication and Signal Processing (ICCSP)