@article{ref1,
title="High-speed train control based on multiple-model adaptive control with second-level adaptation",
journal="Vehicle system dynamics",
year="2014",
author="Zhou, Yonghua and Zhang, Zhenlin",
volume="52",
number="5",
pages="637-652",
abstract="Speed uplift has become the leading trend for the development of current railway traffic. Ideally, under the high-speed transportation infrastructure, trains run at specified positions with designated speeds at appointed times. In view of the faster adaptation ability of multiple-model adaptive control with second-level adaptation (MMAC-SLA), we propose one type of MMAC-SLA for a class of nonlinear systems such as cascaded vehicles. By using an input decomposition technique, the corresponding stability proof is solved for the proposed MMAC-SLA, which synthesises the control signals from the weighted multiple models. The control strategy is utilised to challenge the position and speed tracking of high-speed trains with uncertain parameters. The simulation results demonstrate that the proposed MMAC-SLA can achieve small tracking errors with moderate in-train forces incurred under the control of flattening input signals with practical enforceability. This study also provides a new idea for the control of in-train forces by tracking the positions and speeds of cars while considering power constraints.<p />",
language="en",
issn="0042-3114",
doi="10.1080/00423114.2014.887209",
url="http://dx.doi.org/10.1080/00423114.2014.887209"
}