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In this paper, a fault tolerant control (FTC) strategy is investigated for Near Space Hypersonic Vehicle (NSHV) based on neural network and adaptive backstepping design. Firstly, a radial basis function (RBF) neural network (NN) is used to approximate the nonlinear dynamics, a neural network observer is constructed to estimate the unknown system fault, the adaptive on-line parameter-updating laws...
In this study, the altitude and yaw angle tracking is considered for a scale model helicopter, mounted on an experimental platform, in the presence of model uncertainties, which may be caused by unmodelled dynamics, or aerodynamical disturbances from the environment. To deal with the uncertainties, approximation-based techniques using neural network (NN) are proposed. In particular, two different...
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