Adaptive Predict Control of Nonlinear System Based on A Modified Neural Network

摘要：

　　Based on a modified neural network with a new structure and a fast algorithm,an approach on adaptive predictive control is represented in this paper.Advantage of neural network modeling accuracy and good control performance of the optimal predictive control are combined.In the meantime,we can take the nonlinear network model output as a kind of measured disturbance,which is overcome in predictive feed-forward control.So the approach achieves satisfied control effectiveness.

关键词： Modified Neural Network Nonlinear Adaptive Predict Control

作者: Nian shanpo Hou caixia Chen lei Gong runkun Peng li

作者单位: Hebei United University,Tangshan,China.063000

会议类型: 国际会议

会议名称: 2012 2nd International conference on Machinery Electronics and Control Engineering (2012年第二届国际机械电子与控制工程会议(ICMECE 2012))

会议地点: 济南

会议语种:英文

页码: 1323-1326

在线出版日期: 2012-12-29（万方平台首次上网日期，不代表论文的发表时间）