Journal of Computer Applications ›› 2005, Vol. 25 ›› Issue (05): 1031-1033.DOI: 10.3724/SP.J.1087.2005.1031

• Artificial intelligence and simulation • Previous Articles     Next Articles

Application of wavelet neural network in the system identification for flight control systems

HUANG Yi-jun, ZHANG Wei-guo, LIU Xiao-xiong   

  1. College of Automation, Northwestern Polytechnical University
  • Online:2005-05-25 Published:2005-05-01

小波神经网络在飞控系统辨识中的应用研究

黄宜军,章卫国,刘小雄   

  1. 西北工业大学自动化学院
  • 基金资助:

     教育部 985工程资助项目

Abstract: A method using neural network with the hidden layer that consists of wavelets for flight control system identification was presented. A mother wavelet based on the sigmoid function was formed. A wavelet neural network (WNN) was designed using this function as nerve cell. WNN can identify the flight control system on-line. Simulation results about the application of this network were also given.

Key words: system identification, wavelet analysis, neural network, flight control system

摘要: 选择以sigmoid函数为基础的小波基波函数构造了一个小波神经网络,利用小波网络对复杂的飞控系统对象进行在线辨识研究,仿真结果表明小波神经网络基本满足某型飞机飞控系统在线辨识的要求。

关键词: 系统辨识, 小波分析, 神经网络, 飞控系统

CLC Number: