Discrete-time recurrent high order neural networks for nonlinear identification

作者：Alanis Alma Y^*; Sanchez Edgar N; Loukianov Alexander G; Hernandez EstebanA

来源：Journal of the Franklin Institute, 2010, 347(7): 1253-1265.

DOI：10.1016/j.jfranklin.2010.05.018

This paper focuses on the problem of discrete-time nonlinear system identification via recurrent high order neural networks. It includes the respective stability analysis on the basis of the Lyapunov approach for the NN training algorithm. Applicability of the proposed scheme is illustrated via simulation for a discrete-time nonlinear model of an electric induction motor.

• 出版日期2010-9