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A Trend Forecasting Method for the Vibration Signals of Aircraft Engines Combining Enhanced Slice-Level Adaptive Normalization Using Long Short-Term Memory Under Multi-Operating Conditions. [PDF]
Lu J, Yang K, Zhang P, Wu W, Li S.
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Effect of Weight Distribution and Active Safety Systems on Electric Vehicle Performance. [PDF]
Gori V, Hendrix W, Das A, Sun Z.
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Fault diagnosis methods for imbalanced samples of hydraulic pumps based on DA-DCGAN. [PDF]
Zhao Y+4 more
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DUIncoder: Learning to Detect Driving Under the Influence Behaviors from Various Normal Driving Data. [PDF]
Zhou H+5 more
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Real-time driver identification in IoV: A deep learning and cloud integration approach. [PDF]
Gheni HM, AbdulRahaim LA, Abdellatif A.
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Adaptive Tracking Control of an Electronic Throttle Valve Based on Recursive Terminal Sliding Mode
IEEE Transactions on Vehicular Technology, 2021This paper proposes an adaptive tracking control scheme for an electronic throttle valve (ETV) based on recursive terminal sliding mode (RTSM) control strategy in the presence of parametric uncertainties and lumped disturbance.
Youhao Hu+7 more
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, 2021
The connected and automated vehicle (CAV) is regarded as an effective way to improve traffic efficiency and safety, which can utilize vehicle-to-vehicle (V2V) communication technology to obtain real-time status information from multiple preceding ...
Liang Chen+4 more
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The connected and automated vehicle (CAV) is regarded as an effective way to improve traffic efficiency and safety, which can utilize vehicle-to-vehicle (V2V) communication technology to obtain real-time status information from multiple preceding ...
Liang Chen+4 more
semanticscholar +1 more source
IEEE transactions on industrial electronics (1982. Print), 2018
The control of automobile electronic throttle (AET) systems is a challenging task owing to multiple nonlinearities, i.e., transmission friction, gear backlash, limp-home spring set, and external load disturbance.
Hai Wang+8 more
semanticscholar +1 more source
The control of automobile electronic throttle (AET) systems is a challenging task owing to multiple nonlinearities, i.e., transmission friction, gear backlash, limp-home spring set, and external load disturbance.
Hai Wang+8 more
semanticscholar +1 more source
IEEE Transactions on Vehicular Technology, 2018
A robust adaptive integral terminal sliding mode (AITSM) control scheme with an uncertainty observer (UO) is developed for automobile electronic throttle (AET) systems. Distinguished from the ordinary sliding mode (SM)-based AET control systems, by using
Hai Wang+7 more
semanticscholar +1 more source
A robust adaptive integral terminal sliding mode (AITSM) control scheme with an uncertainty observer (UO) is developed for automobile electronic throttle (AET) systems. Distinguished from the ordinary sliding mode (SM)-based AET control systems, by using
Hai Wang+7 more
semanticscholar +1 more source