2019 IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM) 2019
DOI: 10.1109/aim.2019.8868433
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Learning Methods for the Feedforward Control of a Hydraulic Clutch Actuation Path

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Cited by 3 publications
(1 citation statement)
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“…For an electromechanical automatic clutch actuator driven by brushless direct current motor, Shi et al 25 proposed a robust position control system based on robust output feedback control method, which included a high gain observer and recursive controller. At the same time, some methods based on deep learning or optimizing theory were proposed for the clutch position control systems, 26 , 27 but these methods are not suitable because of the limited hardware resource and computation ability. In practice, a method that is simple and easy to implement on the hardware is favorite, after all, the control for the clutch position is repetitive and frequent.…”
Section: Introductionmentioning
confidence: 99%
“…For an electromechanical automatic clutch actuator driven by brushless direct current motor, Shi et al 25 proposed a robust position control system based on robust output feedback control method, which included a high gain observer and recursive controller. At the same time, some methods based on deep learning or optimizing theory were proposed for the clutch position control systems, 26 , 27 but these methods are not suitable because of the limited hardware resource and computation ability. In practice, a method that is simple and easy to implement on the hardware is favorite, after all, the control for the clutch position is repetitive and frequent.…”
Section: Introductionmentioning
confidence: 99%