Yafei Liu, Lei Yang, Shuaifei Zhang, Yihao Kang, Jing Xun, Zhanbo Sun
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Parameter identification and platoon control for virtually coupled train set with physics-informed neural network dynamics model
Modelling train dynamics is essential for the platoon control of virtually coupled train sets (VCTS). Variable rail-wheel conditions and high data collection costs pose substantial challenges for b...
期刊介绍：
Vehicle System Dynamics is an international journal, providing a source of information for the vehicle engineer and the applied scientist. The journal emphasizes the theoretical background of research and development problems of all kinds of road, rail and other ground-based vehicles. Main topics are: Dynamics of vehicle systems and their components including suspension, steering, braking, chassis systems, noise-vibration-harshness, power train; Control of motion and forces affecting vehicle behaviour; Computer aided modelling and simulation, validation, parameter identification and testing, driver modelling; Vehicle interactions with the environment including wheel-rail and tyre-ground behaviour; Active Safety Systems including collision and derailment warning, avoidance and mitigation; Intelligent vehicles, guided vehicles, automated traffic systems related to vehicle dynamics, unconventional vehicles.
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