State Observer-Based Iterative Learning Control of an Uncertain Continuous-Time System

被引：3
|
作者：
Emelianova, J. P. [1 ]
机构：
[1] RE Alekseev Nizhny Novgorod State Tech Univ, Arzamas Polytech Inst, Arzamas, Russia
来源：
AUTOMATION AND REMOTE CONTROL | 2020年 / 81卷 / 07期
基金：
俄罗斯科学基金会;
关键词：
iterative learning control; observer; 2D systems; stability; vector Lyapunov function; differential repetitive processes; CONTROL DESIGN;
D O I：
10.1134/S000511792007005X
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Linear systems with the affine model of parametric uncertainty that operate in a repetitive mode are considered. For such systems, a new iterative learning control design method is proposed. This method is based on the use of a full-order state observer and an auxiliary 2D model in the form of a differential repetitive process whose stability guarantees the convergence of the learning process. For obtaining stability conditions, the divergent method of vector Lyapunov functions is used. An example illustrating the features and advantages of the new iterative learning control design method is presented.
引用
收藏
页码：1230 / 1242
页数：13
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