Identification of Nonparametric GFRF Model for a Class of Nonlinear Dynamic Systems
Han Chongzhao
Wang Liqi
Tang Xiaoquan
Dang Yingnong
Abstract：This paper presents the nonparametric identification algorithm of GFRF models for a class of nonlinear dynamic systems with polynomial form.The distinguishing feature of the algorithm is to desire a limited calculating quantity and store space,and the identification accuracy is high.The simulation results show that the identification algorithm is very effective,and the obtained model is of excellent generalization ability in general.So,it's an approach with important prospect for application.
Keywords：polynomial nonlinear systemgeneralized frequency response functionnonparametric model identification
Publication Date：1999-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)