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Title: Iterative learning control for repetitive tasks with randomly varying trial lengths using successive projection
Creator:
Zhuang, Zhihe ; Tao, Hongfeng ; Chen, Yiyang ; Stojanovic, Vladimir ; Paszke, Wojciech (1975- )
Date:
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Abstract:
This article proposes an effective iterative learning control (ILC) approach based on successive projection scheme for repetitive systems with randomly varying trial lengths. A modified ILC problem is formulated to extend the classical ILC task description to incorporate a randomly varying trial length, while its design objective considers the mathematical expectation of its tracking error to evaluate the task performance. ; To solve this problem, this article employs the successive projection framework to give an iterative input signal update law by defining the corresponding convex sets based on the design requirements. This update law further yields an ILC algorithm, whose convergence properties are proved to be held under mild conditions. ; In addition, the input signal constraint can be embedded into the design without violating the convergence properties to obtain an alternative algorithm. The performance of the proposed algorithms is verified using a numerical model to show the effectiveness at occasions with and without input constraints.
Description:
artykuł zamieszczony w: "International Journal of Adaptive Control and Signal Processing"
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License CC BY 4.0:
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Biblioteka Uniwersytetu Zielonogórskiego
Object collections:
- Digital Library of Zielona Góra > Repository > Faculties > Faculty of Computer, Electrical and Control Engineering
- Digital Library of Zielona Góra > Repository > Types of work > Articles
Last modified:
23 sty 2026
In our library since:
19 paź 2023
Number of object content hits:
388
All available object's versions:
https://zbc.uz.zgora.pl/publication/84030
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Show description in OAI-PMH format:
| Edition name | Date |
|---|---|
| Iterative learning control for repetitive tasks with randomly varying trial lengths using successive projection | 23 sty 2026 |
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