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Titlebook: 16th International Symposium on Advanced Vehicle Control; Proceedings of AVEC’ Giampiero Mastinu,Francesco Braghin,Sergio M. Sava Conferenc

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發(fā)表于 2025-3-21 18:08:36 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
期刊全稱16th International Symposium on Advanced Vehicle Control
期刊簡(jiǎn)稱Proceedings of AVEC’
影響因子2023Giampiero Mastinu,Francesco Braghin,Sergio M. Sava
視頻videohttp://file.papertrans.cn/103/102806/102806.mp4
發(fā)行地址This book is open access, which means that you have free and unlimited access.Features the state of the art in Vehicle Control.Explores new horizons and research frontiers of Automotive Engineering.Wr
學(xué)科分類Lecture Notes in Mechanical Engineering
圖書封面Titlebook: 16th International Symposium on Advanced Vehicle Control; Proceedings of AVEC’ Giampiero Mastinu,Francesco Braghin,Sergio M. Sava Conferenc
影響因子.This open access book highlights the?latest advances, innovations, and applications in the?field of vehicle systems dynamics and control, as presented by?leading international researchers at?the 16th?JSAE International Symposium on Advanced Vehicle Control (AVEC), held at Politecnico di Milano,?Milan, Italy, on?September 2-6,?2024. It covers a diverse range of?topics such as vehicle dynamics theory, steering, brake, tire, suspension, chassis control, powertrain, electrified vehicles, stability enhancement systems, driver-vehicle systems, advanced driver assistance systems and automated driving systems, driving simulator dynamics and control. The?contributions, which were selected by?means of?a rigorous international peer-review process, present a wealth of?exciting ideas that will open novel research directions and foster multidisciplinary collaboration among different specialists..
Pindex Conference proceedings‘‘‘‘‘‘‘‘ 2024
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Advances in Human Aspects of Transportationorimotor noise sources are introduced to the driver model to better represent neural processes. It is found that the driver model exhibits the expected learning behaviour in terms of estimation and control performance. Further work is planned to validate the model experimentally.
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Synthesis Lectures on Computer Scienceearning model developed to identify unsafe behaviours and modes, such as jack-knifing and trailer swing, enabling the control scheme to prioritize stability. High-fidelity simulations, focusing on high-risk scenarios, generate data for training the machine learning model. This model is integrated in
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Advances in Human Aspects of Transportationke and exhaust valve control. The linear actuator, comprising a movable coil and a fixed permanent magnet, operates based on the principle of the Lorentz force. Unlike traditional magnetic circuits, this actuator employs five permanent magnets with different magnetization directions to concentrate t
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Advances in Human Aspects of Transportationimate of the current road conditions. However, reference or training data for natural conditions containing available friction is sparse. This limits the development of data-driven approaches for friction estimation. The current paper presents progress in a project devoted to developing a method to
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