Dissipativity-based iterative learning control for singular systems

被引：0

作者：

Zhang, Meiyu ^{[1
]}

Gu, Panpan ^{[2
]}

Tian, Senping ^{[1
]}

机构：

[1] South China Univ Technol, Sch Automat Sci & Engn, Guangzhou, Peoples R China

[2] Hefei Univ Technol, Sch Elect Engn & Automat, Hefei, Peoples R China

来源：

INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE | 2024年 / 55卷 / 07期

基金：

中国国家自然科学基金;

关键词：

Singular systems; iterative learning control; dissipativity; P-type learning algorithm; positive realness; TRAJECTORY TRACKING; DYNAMICAL-SYSTEMS;

D O I：

10.1080/00207721.2024.2307955

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

In this paper, the framework of dissipativity-based iterative learning control for singular systems (SSs) is established for the first time. Firstly, under the P-type learning algorithm, it has been demonstrated that the dissipative SSs can achieve the accurate tracking for the desired trajectory in a finite time interval. Secondly, a sufficient condition for the SSs to satisfy dissipativity is given by using the linear matrix inequality (LMI) method, and the solvability criterion of the LMI is further presented. Moreover, the relationship between dissipativity and positive realness is revealed. Finally, two examples are given to verify the effectiveness of the proposed method.

引用

页码：1410 / 1419

页数：10

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