Iterative Learning Control for Distributed Parameter Systems Based on Actuator-Sensor Network

被引：0

作者：

Zhang, Jianxiang ^{[1
]}

Cui, Baotong ^{[1
]}

Lou, Xuyang ^{[1
]}

机构：

[1] Jiangnan Univ, Sch IoT Engn, Wuxi 214122, Peoples R China

来源：

2017 SEVENTH INTERNATIONAL CONFERENCE ON INFORMATION SCIENCE AND TECHNOLOGY (ICIST2017) | 2017年

关键词：

iterative learning control; distributed parameter system; actuator-sensor network;

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：

The iterative learning control technique is generalized to distributed parameter systems based on actuator-sensor network. Firstly, an open-loop D-type and a closed-loop D-type ILC schemes are presented for a class of distributed parameter system with single sensor-actuator respectively. Then, we derive sufficient conditions for tracking error convergence. Secondly, we consider distributed parameter systems with multiple sensors-actuators and obtain the convergence of tracking error under an open-closed-loop D-type ILC scheme. The numerical simulation results illustrate the effectiveness of the proposed ILC schemes.

引用

页码：14 / 18

页数：5

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