我所殷辰堃老师课题组完成的论文《Constrained Spatial Adaptive Iterative Learning Control for Trajectory Tracking of High Speed Train》于2022-08在《IEEE Transactions on Intelligent Transportation Systems》正式发表。论文摘要如下：
Abstract: This paper proposes a constrain spatial adaptive iterative learning controller (CSAILC) for the displacement-speed trajectory tracking of automatic train control system with unknown parametric/nonparametric uncertainties and speed constraints. First, the nonlinear dynamic model of train operation is transformed from temporal domain into spatial domain utilizing a spatial state differentiator. Besides, the displacement-related parametric/nonparametric uncertainties are updated in the iteration axis. Furthermore, a barrier function is involved to satisfy the speed constraint, and the corresponding convergence analysis of the proposed CSAILC for automatic train control (ATC) is derived based on the spatial composite energy function. In addition, numerical simulations of train tracking control are carried out, and simulation results indicate that the proposed CSAILC achieves good effectiveness in a high-speed train (HST) control system.
引用信息：Zhenxuan Li, Chenkun Yin, Honghai Ji, Zhongsheng Hou. Constrained Spatial Adaptive Iterative Learning Control for Trajectory Tracking of High Speed Train. IEEE Transactions on Intelligent Transportation Systems, 2021-08-30. DOI: 10.1109/tits.2021.3106653