Neural network identification method applied to the nonlinear system

摘要：

A kind of neural network solution method has been proposed in the paper aiming at a class of non-linear process control system with the characteristic of time delay.In this scheme,a new-type associative memory neural network is used to model the controlled system,and the fuzzy neural network with inverse identification structure is adopted to control the non-linear process system.This fuzzy neural network control method adopts the structure of three layers combine neural network identifier with inverse structure.Computer simulation and lab application show that it is effective to adopt this scheme to control non-linear process system with time delay.

关键词： non-linear system identification associative memory neural network

作者: Xue-li Wu Jian-hua Zhang Hui-guang Li Ren Zhen

作者单位: Hebei University of Science and Technology,Shijiazhuang.050054,P.R.China;Engineering Technology Rese Yanshan University,Qinhuangdao,066004,P.R.China 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）