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Robust adaptive control for near space vehicles based on wavelet neural network

In order to improve the adaptive ability and robustness of the system, the wavelet neural network (WNN) single-scaling frame function with robust controller is used to design the controller. The WNN has self-learning and adaptive ability to approximate nonlinear functions. Combined with the trajectory linearization control (TLC) method, the adaptive robust control strategy and the NSV attitude control system are designed. Then simulations are taken to demonstrate the effectiveness.