An LMI approach to ILC of linear distributed parameter systems with time delay

被引:0
作者
Dai, Xisheng [1 ]
Wang, Su [1 ]
Liang, Chenghua [1 ]
机构
[1] Guangxi Univ Sci & Technol, Sch Elect & Informat Engn, Liuzhou 545006, Peoples R China
来源
2019 6TH INTERNATIONAL CONFERENCE ON CONTROL, DECISION AND INFORMATION TECHNOLOGIES (CODIT 2019) | 2019年
基金
中国国家自然科学基金;
关键词
Iterative learning control; Distributed parameter systems; Time delay; Convergence; Linear matrix inequality; ITERATIVE LEARNING CONTROL; BATCH PROCESSES; CONTROL DESIGN;
D O I
10.1109/codit.2019.8820454
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This paper considers the iterative learning control (ILC) problem for a class of uncertain linear distributed parameter systems with time delay. A P-type ILC scheme is presented for distributed parameter systems. Then, using a Lyapunov-like approach, we derive sufficient conditions for tracking error convergence in the sense of L-2 norm in terms of linear matrix inequalities based on rigorous analysis, which can also guarantee the monotonic convergence of the input error in some given norm. The results of numerical simulations are presented to illustrate the effectiveness of the proposed ILC approach.
引用
收藏
页码:849 / 854
页数:6
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