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An Accelerating Iterative Learning Control Based on an Adjustable Learning Interval
Joint Authors
Source
Journal of Control Science and Engineering
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-6, 6 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-03-02
Country of Publication
Egypt
No. of Pages
6
Main Subjects
Electronic engineering
Information Technology and Computer Science
Abstract EN
An iterative learning control algorithm with an adjustable interval is proposed for nonlinear systems to accelerate the convergence rate of iterative learning control.
For λ-norm, the monotonic convergence of ILC was analyzed, and the corresponding convergence conditions were obtained.
The results showed that the convergence rate was mainly determined by the controlled object, the control law gain, the correction factor, and the iteration interval size and that the control law gain was corrected in real time in the modified interval and the modified interval shortened as the number of iterations increased, further accelerating the convergence.
The numerical simulation shows the effectiveness of the proposed method.
American Psychological Association (APA)
Ma, Dongqi& Lin, Hui. 2017. An Accelerating Iterative Learning Control Based on an Adjustable Learning Interval. Journal of Control Science and Engineering،Vol. 2017, no. 2017, pp.1-6.
https://search.emarefa.net/detail/BIM-1173393
Modern Language Association (MLA)
Ma, Dongqi& Lin, Hui. An Accelerating Iterative Learning Control Based on an Adjustable Learning Interval. Journal of Control Science and Engineering No. 2017 (2017), pp.1-6.
https://search.emarefa.net/detail/BIM-1173393
American Medical Association (AMA)
Ma, Dongqi& Lin, Hui. An Accelerating Iterative Learning Control Based on an Adjustable Learning Interval. Journal of Control Science and Engineering. 2017. Vol. 2017, no. 2017, pp.1-6.
https://search.emarefa.net/detail/BIM-1173393
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1173393