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- W2774453669 abstract "In this paper, based on pre-existing control-oriented model (COM), considering the aerodynamic coefficients suffer to stochastic perturbation, a new control model of the longitudinal dynamics with stochastic perturbation is obtained. Furthermore, by using radial basis neural networks (RBFNNs) and backstepping technique, an adaptive longitudinal control scheme is proposed for near space vehicles (NSVs) with stochastic perturbation. The developed control approach can guarantee that all closed-loop system signals are bounded in probability. Simulation results show the good tracking performance of the proposed tracking control scheme." @default.
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- W2774453669 date "2017-11-01" @default.
- W2774453669 modified "2023-09-29" @default.
- W2774453669 title "Modelling and adaptive robust control for NSVs with stochastic perturbation" @default.
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- W2774453669 doi "https://doi.org/10.1109/icicip.2017.8113938" @default.
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