Identification of fractional nonlinear system based on auxiliary model

This paper develops a parameter identification of fractional Wiener models based on the output error approach and the Key-term separation principle. Although the linear part is a fractional linear system. To solve the difficulty of the unmeasurable inner variables in the information vector, the auxiliary model idea is combined with the robust Levenberg-Marquardt algorithm. The efficiency of the proposed method is tested using numerical simulations.