Nonlinear System Identification with Delayed Neural Network

摘要：

In this paper,the identification problem for time-varying delay nonlinear system is discussed.We use a delayed dynamic neural network to do on-line identification.This neural network has dynamic series-parallel structure.The stability conditions of on-line identification are derived by Lyapunov-Krasovskii approach.The weights of the delayed neural network are updated by the identification error in adaptive method.

关键词： nonlinear system identification neural network.

作者: Jian-hua Zhang Xue-li Wu Hui-guang Li Zhan-tong Zhou

作者单位: Yanshan University,Qinhuangdao,066004,P.R.China Hebei University of Science and Technology,Shijiazhuang,050054,P.R.ChinaEngineering Technology Resea Hebei University of Science and Technology,Shijiazhuang,050054,P.R.China

会议类型: 国际会议

会议名称: International Conference on Modelling,Identification and Control(模拟、鉴定、控制国际会议)

会议地点: 上海

会议语种:英文

在线出版日期: 2008-06-29（万方平台首次上网日期，不代表论文的发表时间）