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A hybrid backtracking search algorithm with wavelet mutation-based nonlinear system identification of Hammerstein models

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Abstract

In this paper a novel and accurate approach is presented to identify varieties of nonlinear Hammerstein models (closed loop and open loop) with the help of an optimization algorithm that combines a recently proposed backtracking search algorithm with wavelet theory-based mutation scheme (BSA-WM). The optimum output MSE associated with each plant along with its statistical information justifies the better precision and accuracy of BSA-WM-based identification approach as compared to the other methods reported in earlier literature.

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Authors and Affiliations

  1. Department of Electronics and Communication Engineering, NIT Durgapur, Durgapur, India

    P. S. Pal, R. Kar & D. Mandal

  2. Department of Electrical Engineering, NIT Durgapur, Durgapur, India

    S. P. Ghoshal

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  1. P. S. Pal
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  2. R. Kar
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  3. D. Mandal
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  4. S. P. Ghoshal
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Correspondence to R. Kar.

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Pal, P.S., Kar, R., Mandal, D. et al. A hybrid backtracking search algorithm with wavelet mutation-based nonlinear system identification of Hammerstein models. SIViP 11, 929–936 (2017). https://doi.org/10.1007/s11760-016-1041-z

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