Abstract
This paper studies a new identification method for dual-rate 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 missing output identification model based 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.
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