Identification of Hammerstein models concerning general disturbances

The linear dynamic Hammerstein model presents some static nonlinearity. The predominant method to estimate the components of this model is to minimize the error between the simulated and measured outputs. Taking the Gaussian input signals into account, we can estimate the linear part of the Hammerstein model by using the Buss gang´s classic theory. Accordingly, considering the case in point with the general disturbances, we come up with the maximum likelihood methodology.