Identification of Hammerstein nonlinear systems with delayed input

This paper focuses on the identification problem of Hammerstein nonlinear systems with delayed input. This problem involves both the estimation of the time delay and the parameters by applying respectively the Variable Regression Estimation (VRE) technique and the gradient approach. Simulation results are presented to illustrate the the performance of the proposed method.