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Identification of Hammerstein nonlinear models has received much attention due to its ability to describe a wide variety of nonlinear systems. This paper considers the parameter estimation problem of ARMAX models for the Hammerstein systems. The recursive maximum likelihood method, which can be applied to online identification and occupies small memory capacity, is proposed to deal with the problem...
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