收稿日期: 2010-04-15
修回日期: 2010-07-21
网络出版日期: 2011-05-15
基金资助
Supported by the National Natural Science Foundation of China (60874116) and Natural Science Foundation of Hainan province (610227)
Iterative learning control for linear time-variant continuous systems with iteration-varying initial conditions and reference trajectories
Received date: 2010-04-15
Revised date: 2010-07-21
Online published: 2011-05-15
Supported by
Supported by the National Natural Science Foundation of China (60874116) and Natural Science Foundation of Hainan province (610227)
戴辉 , 卢益民 . 线性时变系统变初始条件变期望轨迹的迭代学习控制[J]. 中国科学院大学学报, 2011 , 28(3) : 366 -374 . DOI: 10.7523/j.issn.2095-6134.2011.3.014
For non-strictly repetitive linear time-variant continuous systems, both the iterative initial conditions and the reference trajectories are iteration-varying within a bound. We present a kind of iterative learning controller with a rectifying action to the non-strictly repetitive tracking. The proposed controller can make the output tracking error beyond the initial time interval converge to a residual set whose size depends on the estimation error of input matrix. Especially, when the accurate input matrix is known, the output tracking error beyond the initial time interval can approach zero.
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