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Extreme-learning-machine-based FNTSM control strategy for electronic throttle

Neural Computing and Applications, 2019
Youhao Hu, Hai Wang, Zhenwei Cao
exaly   +2 more sources

A Novel Adaptive Control Scheme for Automotive Electronic Throttle Based on Extremum Seeking

IEEE Transactions on Circuits and Systems Part 1: Regular Papers, 2023
To achieve rapid and high-precision servo control of an electronic throttle, an adaptive control scheme is proposed based on the extremum seeking (ES), which consists of a variable-gain adaptive proportional-integral (ES-API) controller and an adaptive ...
Lin Chen   +5 more
semanticscholar   +1 more source

Adaptive Tracking Control of an Electronic Throttle Valve Based on Recursive Terminal Sliding Mode

IEEE Transactions on Vehicular Technology, 2021
This 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
semanticscholar   +1 more source

Car-following model of connected and autonomous vehicles considering both average headway and electronic throttle angle

, 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
semanticscholar   +1 more source

Continuous Fast Nonsingular Terminal Sliding Mode Control of Automotive Electronic Throttle Systems Using Finite-Time Exact Observer

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

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