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In this study, a prescribed performance adaptive fault tolerant tracking control scheme is presented for a class of nonlinear large‐scale systems with time delay interconnection, dead zone input, and actuator fault. The radial basis function neural networks are used to approximate unknown nonlinear functions. Different from the barrier Lyapunov functions used to achieve the symmetrical prescribed...
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...
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