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- W2022772353 abstract "According to the nonlinear and parameter time-varying characteristics of vehicle stability control, a sliding control algorithm is proposed based on radial base function (RBF) neural network. The algorithm not only can reduce the chattering caused by the conventional sliding mode, but also improve the robust of the adaptive neural network control. The simulation results show the algorithm ensures that the car could run at the direction desired by the drivers." @default.
- W2022772353 created "2016-06-24" @default.
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- W2022772353 date "2010-01-01" @default.
- W2022772353 modified "2023-09-27" @default.
- W2022772353 title "Vehicle stability sliding mode control based on RBF neural network" @default.
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- W2022772353 doi "https://doi.org/10.1109/icacc.2010.5486963" @default.
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