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Event-Triggered iterative learning control for asynchronously switched systems

delete2023-03-01
delete8
PRE
AI
Y
Yiwen Qi *
Z
Zhaohui Yao *
X
Xiujuan Zhao
Y
Yiwen Tang
DOI:10.1016/j.amc.2022.127662delete
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摘要

摘要

En 中文
Iterative learning control (ILC) is an effective control strategy for complex systems that uses trial and error to obtain desired output trajectories. This paper focuses on the is-sue of event-triggered ILC for switched systems with asynchronous switching. An event -triggered ILC method is designed to reduce unnecessary controller updates during itera-tions. The main technical contribution is that the analysis and synthesis are performed in both time and iteration domains. First, in order to solve the asynchronous switching prob-lem in the time direction and the update problem in the iteration direction, a Lyapunov function involving both directions is adopted. Second, to prove the convergence of tracking error and the system stability in both domains, a new prove method is proposed, in which the tracking error is summed over the entire time domain and the average dwell condition is summed over the entire iteration domain. Finally, the feasibility of theoretical result is verified by simulation.(c) 2022 Elsevier Inc. All rights reserved.
Keyword:
Switched systems
Asynchronous switching
Event-triggered iterative learning control
Time and iteration domains

期刊

Applied Mathematics and Computation 封面图
Applied Mathematics and Computation
IF:
3.4
论文数:
2.3W
被引数:
3.3W

机构

S
Shenyang Aerospace University
学者数:
3.1K
论文数: 1.9K
被引数: 2.0K
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