Recursive identification of bilinear dynamical systems with noise in output signal

A recursive algorithm is proposed for identification single-input-single-output bilinear dynamic systems with output-error. The estimates are proved to be convergent to the true values almost surely (a.s.). The results of a simulated example show that the accuracy of the proposed algorithm is higher than that of recursive least square and recursive extended instrumental variables algorithms.