ILC for a Class of Linear Parabolic DPSs with Moving Boundaries

被引：0

作者：

Zhang, Hai ^{[1
]}

Dai, Xisheng ^{[1
]}

Aslam, Muhammad Shamrooz ^{[1
]}

Wang, Su ^{[1
]}

机构：

[1] Guangxi Univ Sci & Technol, Sch Elect & Informat Engn, Liuzhou 545006, Peoples R China

来源：

PROCEEDINGS OF 2020 IEEE 9TH DATA DRIVEN CONTROL AND LEARNING SYSTEMS CONFERENCE (DDCLS'20) | 2020年

基金：

中国国家自然科学基金;

关键词：

Distributed parameter systems; Moving boundary; Iterative learning control; Convergence; SYSTEMS;

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：

This article focuses on the iterative learning control problem of a class of linear parabolic distributed parameter systems, which has the characteristic that the boundaries of the spatial domain change continuously with time. Then, the open-loop P-type iterative learning method is used to study the system output tracking problem. Through rigorous theoretical analysis, some methods such as the contraction mapping approach and Bellman-Gronwall inequality are used to prove the convergence of the tracking error. Finally, the effectiveness of the algorithm is verified by numerical simulation.

引用

下载

页码：1347 / 1352

页数：6

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