Time delay estimation for a class of block-oriented nonlinear models

An identification method is described for Wiener time delay systems. It consists in identifying in two-stage the parameters and the time delay: the estimation of the parameters is solved by applying a gradient algorithm and the time delay is identified by using a Variable Regression Estimation technique. Simulation results are presented to illustrate the performance of the proposed method.