H∞ approach to monotonically convergent ILC for uncertain time-varying delay systems

被引:15
作者
Meng, Deyuan [1 ,2 ,3 ]
Jia, Yingmin [1 ,2 ,3 ]
Du, Junping [4 ]
机构
[1] Beihang Univ BUAA, Res Div 7, Beijing, Peoples R China
[2] Beihang Univ BUAA, Dept Syst & Control, Beijing, Peoples R China
[3] Beihang Univ BUAA, Key Lab Math Informat & Behav Semant, Beijing, Peoples R China
[4] Beijing Univ Posts & Telecommun, Sch Comp Sci & Technol, Beijing Key Lab Intelligent Telecommun Software &, Beijing 100088, Peoples R China
基金
北京市自然科学基金;
关键词
iterative learning control; linear matrix inequality; monotonic convergence; time-delay systems; ITERATIVE LEARNING CONTROL; NONLINEAR-SYSTEMS; CONTROL DESIGN; INPUT; TRACKING;
D O I
10.1080/00207721.2013.775392
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 deals with iterative learning control (ILC) design for uncertain time-delay systems. Monotonic convergence of the resulting ILC process is studied, and a sufficient condition within an H-infinity-based framework is developed. It is shown that under this framework, delay-dependent conditions can be obtained in terms of linear matrix inequalities (LMIs), together with formulas for gain matrices design. A numerical example is provided to illustrate the effectiveness of the robust H-infinity-based approach to ILC designed via LMIs.
引用
收藏
页码:209 / 217
页数:9
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