Adaptive Iterative Learning Control for Discrete-Time Linear Systems with Iteration-Time-Varying and Unknown Parameters under Event-Triggered Mechanism

被引：0

作者：

Li, Peiyuan ^{[1
]}

Wan, Liheng ^{[2
]}

Liu, Shuai ^{[2
]}

Li, Panshuo ^{[3
]}

机构：

[1] Guangdong Univ Technol, Sch Automat, Guangzhou 510006, Peoples R China

[2] Guangdong Prov Key Lab Intelligent Decis & Cooper, Guangzhou, Peoples R China

[3] Guangdong Hong Kong Joint Lab Intelligent Decisi, Guangzhou, Peoples R China

来源：

2024 14TH ASIAN CONTROL CONFERENCE, ASCC 2024 | 2024年

基金：

中国国家自然科学基金;

关键词：

Iterative Learning Control; Adaptive Control; Event-Triggered Mechanism; Iteration-Time-Varying Parameters; ILC;

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：

In this paper, an adaptive iterative learning control method is proposed for linear systems with iteration-time-varying unknown parameters. An estimation parameter updating law under the event-triggered mechanism is designed by utilizing the estimated state error. By designing an optimal controller based on estimated system, the boundedness of tracking error along the iteration axis is ensured. The effectiveness of our proposed approach is demonstrated by numerical examples.

引用

页码：2509 / 2514

页数：6

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