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- W2004671008 abstract "A neural network-based sliding mode controller for an electronic throttle of an internal combustion engine is proposed. Electronic throttle is modeled as a linear system with uncertainties and affected by disturbances depending on the states of the system. The disturbances, consisting of an unknown friction and a torque caused by the dual spring mechanism inside the mechanical part of the throttle, are estimated by a neural network whose parameters are adapted on-line. The sliding mode controller and the parameters adaptation scheme are derived in order to achieve a tracking of a smooth reference signal, while preserving boundedness of all signals in the closed-loop system. Experimental results are presented which demonstrate the efficiency and robustness of the proposed control scheme." @default.
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- W2004671008 date "2005-12-01" @default.
- W2004671008 modified "2023-10-01" @default.
- W2004671008 title "Neural network-based sliding mode control of electronic throttle" @default.
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- W2004671008 doi "https://doi.org/10.1016/j.engappai.2005.03.008" @default.
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