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利用小脑关节模型控制器(CMAC) 神经网络辨识了导弹控制系统的几个重要空气动力参数, 证明了估计误差、权误差有界, 然后用解析逆解设计方法、变结构控制方法设计了块对角控制器。仿真结果显示了本文算法的有效性
Several important aerodynamic parameters of the missile control system were identified by CMAC neural network. The estimation error and weight error were proved to be bounded. Then, by using the analytical inverse design method and the variable structure control method, the block pairs Angle controller. Simulation results show the effectiveness of the proposed algorithm