Neural Network-based Identification of Missile Aerodynamical Parameters

摘要

This paper identified a few important aerodynamical parameters of missile control systems by using CMAC neural network and proved the boundedness of the estimated error and the weight error, which overcomes the difficulties in the inverse solution method of block diagonal control for missile control systems. The simulation results demonstrated the effectiveness of the proposed method.