Abstract
This paper studies a stochastic algorithm for Hammerstein systems with piece-wise linearities. By using a switching function, the model of the nonlinear Hammerstein systems be changed to an identification model, then based on the derived model, a stochastic gradient identification algorithm is used to estimate all the unknown parameters of the systems. An example is provided to show the effectiveness of the proposed algorithm.
This work was supported by the National Natural Science Foundation of China.
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Chen, J., Chen, J. (2013). Stochastic Gradient Algorithm for Hammerstein Systems with Piece-Wise Linearities. In: Li, K., Li, S., Li, D., Niu, Q. (eds) Intelligent Computing for Sustainable Energy and Environment. ICSEE 2012. Communications in Computer and Information Science, vol 355. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-37105-9_27
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DOI: https://doi.org/10.1007/978-3-642-37105-9_27
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