IEEE Transactions on Automatic Control, Vol.55, No.2, 474-480, 2010
Parametric Identification of Hammerstein Systems With Consistency Results Using Stochastic Inputs
The extended least squares algorithm is applied to identify the Hammerstein system, where the nonlinear static function f(.) is expressed as a linear combination of basic functions with unknown coefficients. Strong consistency of the estimates is established and their convergent rates are obtained as well.