Recursive identification for Hammerstein systems with bounded noise

In this paper, we consider the identification of Hammerstein systems in presence of bounded disturbances. The proposed identification algorithm is a recursive algorithm. It ensures that the estimation error is bounded and allows a real-time separation of the nonlinear part and linear part. Furthermore, some stability and convergence results are demonstrated and a simulation example is given to illustrate the performance of the presented method.