An Iterative Predictive Learning Control Approach With Application to Train Trajectory Tracking

被引：0
|
作者：
Sun, Heqing [1 ]
Hou, Zhongsheng [1 ]
机构：
[1] Beijing Jiaotong Univ, Sch Elect & Informat Engn, Adv Control Syst Lab, Beijing 100044, Peoples R China
来源：
2013 9TH ASIAN CONTROL CONFERENCE (ASCC) | 2013年
关键词：
Iterative learning control; Predictive control; Train trajectory tracking; OPERATION; FEEDBACK; ILC;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
An approach of iterative predictive learning control (IPLC) is proposed for the control of train trajectory tracking. Through combining iterative learning control with predictive control method, the iterative predictive learning control for input-affine nonlinear systems is formulated and solved in this paper. Its application to train trajectory tracking is detailed. Rigorous theoretical analysis confirms that the proposed approach can guarantee the asymptotic convergence of train speed and position to desired profiles along iteration axis. Simulation result shows its effectiveness and feasibility.
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页数：6
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