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• W2980784974 abstract "This paper investigates an adaptive backstepping control method, based on recurrent perturbation fuzzy neural networks disturbance observer (RPFNNDO) for a class of nonlinear systems of vehicle with unknown compound disturbance. Firstly, RPFNNDO is put forward to have better approximation ability for the unknown disturbance, which combines the advantages of the recurrent networks, fuzzy neural networks and sine-cosine function. Next, in order to have great tracking performance and weaken the differential expansion problem, the design process of adaptive backstepping controller is introduced and deployed. And the system stability is proved via Lyapunov function. Finally, the method is applied to control system of vehicle, simulation results show effectiveness of the proposed method." @default.
• W2980784974 created "2019-10-25" @default.
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• W2980784974 date "2019-07-01" @default.
• W2980784974 modified "2023-09-26" @default.
• W2980784974 title "Adaptive backstepping control for uncertain nonlinear systems of vehicle based on recurrent perturbation fuzzy neural networks disturbance observer" @default.
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• W2980784974 doi "https://doi.org/10.23919/chicc.2019.8865485" @default.
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