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- W2912557679 abstract "This paper is concerned with the adaptive backstepping control problem for a cloud-aided nonlinear active full-vehicle suspension system. A novel model for a nonlinear active suspension system is established, in which uncertain parameters, unknown friction forces, nonlinear springs and dampers, and performance requirements are considered simultaneously. In order to deal with the nonlinear characteristics, a backstepping control strategy is developed. Meanwhile, an adaptive control strategy is proposed to handle the uncertain parameters and unknown friction forces. In the cloud-aided vehicle suspension system framework, the adaptive backstepping controller is updated in a remote cloud based on the cloud storing information, such as road information, vehicle suspension information, and reference trajectories. Finally, simulation results for a full vehicle with 7-degree of freedom model are provided to demonstrate the effectiveness of the proposed control scheme, and it is shown that the addressed controller can improve the performances more than 80% compared with passive vehicle suspension systems." @default.
- W2912557679 created "2019-02-21" @default.
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- W2912557679 date "2020-07-01" @default.
- W2912557679 modified "2023-10-13" @default.
- W2912557679 title "Active Full-Vehicle Suspension Control via Cloud-Aided Adaptive Backstepping Approach" @default.
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- W2912557679 doi "https://doi.org/10.1109/tcyb.2019.2891960" @default.
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