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

A novel extreme-learning-machine-based robust control scheme for automotive electronic throttle systems with uncertain dynamics is presented in this paper. It is shown that the well-known extreme learning machine (ELM) is used to estimate the upper bound of the lumped uncertainty while a fast nonsin...

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Veröffentlicht in:Neural computing & applications 2020-09, Vol.32 (18), p.14507-14518
Hauptverfasser: Hu, Youhao, Wang, Hai, Cao, Zhenwei, Zheng, Jinchuan, Ping, Zhaowu, Chen, Long, Jin, Xiaozheng
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Sprache:eng
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