Neural Network-based Identification of Missile Aerodynamical Parameters

Xu Zha*, Yunan Hu, Pingyuan Cui

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

The use of neural networks in the identification of missile aerodynamical parameters is discussed. The proposed method can achieve ideal performance in uncertain conditions, by identifying the important parameters based on CMAC NN. The boundedness of the estimated error and the weight error, which overcomes the difficulties in the inverse solution was proved.

Original languageEnglish
Title of host publicationProceedings of the International Symposium on Test and Measurement
Pages1487-1489
Number of pages3
Publication statusPublished - 2003
Externally publishedYes

Publication series

NameProceedings of the International Symposium on Test and Measurement
Volume2

Keywords

  • Block diagonal control(BDC)
  • CMAC neural network
  • Identification

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