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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...
This paper investigates the path tracking problem for four-wheel-steering and four-wheel-driving electric vehicles with input constraints, actuator faults and the external resistance. A hybrid fault tolerant control approach, which combines the linear quadratic control method and the control Lyapunov function technique, is proposed. It not only maintains the vehiclepsilas tracking performance in spite...
In this paper, an observer-based fault tolerant control (FTC) approach is proposed for hybrid systems with uncontrollable state dependent switching, parametric uncertainties and without full continuous state measurements. Two kinds of faults are considered: continuous faults that affect each mode; discrete faults that affect the mode transition. A novel observer is designed for each mode whose estimation...
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