@inproceedings{0880a94297134a6191f88d98109da3e4,
title = "Neural Network-based Identification of Missile Aerodynamical Parameters",
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.",
keywords = "Block diagonal control(BDC), CMAC neural network, Identification",
author = "Xu Zha and Yunan Hu and Pingyuan Cui",
year = "2003",
language = "English",
series = "Proceedings of the International Symposium on Test and Measurement",
pages = "1487--1489",
booktitle = "Proceedings of the International Symposium on Test and Measurement",
}