Zhang, B., Wang, D., Ye, Y. and Zhou, K. (2010) Stability and robustness analysis of cyclic pseudo-downsampled iterative learning control. International Journal of Control, 83(3), pp. 651-659. (doi: 10.1080/00207170903373753)
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Abstract
Cyclic pseudo-downsampled iterative learning control (ILC) has shown advantages to achieve good learning performance for trajectories containing high-frequency components and has been verified on industrial robot application. This scheme is a multirate ILC in nature and downsamples the fast rate signals (with a sampling period T) to slow rate signals (with a sampling period mT) with a ratio m. Then ILC is carried out on the downsampled signals and interpolates its output to a fast rate signal. For the next iteration, ILC scheme downsamples the signals with the same ratio m but at different sampling points with a time shift T. This process is repeated on the iteration axis so that ILC updates the input of all the sampling points once every m cycles. By experiments [Zhang, B., Wang, D., Ye, Y., Zhou, K. and Wang, Y. (2009) ‘Cyclic Pseudo-downsampled Iterative Learning Control for High Performance Tracking’, Control Engineering Practice, 17, 957–965], this scheme has been shown effective and comparisons with other relevant schemes demonstrate its superior performance. In this article, this cyclic pseudo-downsampled ILC scheme is examined analytically and proved mathematically to be stable and robust. Extensions and insights are also established based on the theoretical developments and simulation verification. pseudo-downsampled ILC scheme.
Item Type: | Articles |
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Keywords: | iterative learning control |
Status: | Published |
Refereed: | Yes |
Glasgow Author(s) Enlighten ID: | Zhou, Dr Keliang |
Authors: | Zhang, B., Wang, D., Ye, Y., and Zhou, K. |
Subjects: | T Technology > TK Electrical engineering. Electronics Nuclear engineering |
College/School: | College of Science and Engineering > School of Engineering |
Journal Name: | International Journal of Control |
Publisher: | Taylor and Francis |
ISSN: | 0020-7179 |
ISSN (Online): | 1366-5820 |
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