Question

求英文翻译成中文

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.

Answer 1

速度提升已成为当前轨道交通发展的主要趋势。理想情况下，高速交通基础设施下，在指定的位置用指定的速度运行列车在约定的时间。在二级自适应多模型自适应控制更快的适应能力，我们提出的观点（mmac-sla）一类非线性系统如一种mmac-sla级联车辆。使用输入分解技术，相应的稳定性证明是提出mmac-sla解决，将控制信号的加权多模型。该控制策略是用来挑战和不确定参数的高速列车跟踪速度的位置。仿真结果表明，提出的mmac-sla可以实现小的跟踪误差随着列车部队平整输入信号与实际执行的控制下发生中度。这项研究还提供了用于控制的一个新的想法在训练部队的跟踪车辆的位置和速度的同时考虑功率约束。