A novel identification approach is proposed for Wiener systems to avoid error accumulation. The proposed approach identifies the linear and nonlinear part respectively. Firstly, a sequence of step signals with various amplitudes is supplied to the system. The structure of the static nonlinear function is obtained from the input step signals and their corresponding steady-state responses. A novel Artificial Bee Colony (NABC) algorithm is developed to solve the optimization problems and the two experiment studies show that the proposed identification procedure is effective.
Liye Liu (Tue,) studied this question.