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题名: Iterative learning control for constrained nonlinear systems
作者: Chen, Wen ; Soh, Yengchai ; Yin CW(尹朝万)
作者部门: 中国科学院沈阳自动化研究所
关键词: Constraint theory ; Control system analysis ; Convergence of numerical methods ; Error analysis ; Feedback ; Intelligent control ; Iterative methods
刊名: International Journal of Systems Science
ISSN号: 0020-7721
出版日期: 1999
卷号: 30, 期号:6, 页码:659-664
收录类别: EI
产权排序: 2
摘要: An iterative learning control method is presented based on the analysis of the constraint to achieve precise tracking control of a class of constrained nonlinear systems over a finite time interval. The learning is done in a feedback configuration formed by the constraint, and the learning law updates the reference input from the plant input of the previous trail. A sufficient condition which guarantees the convergence of the learning is given. From the derivation, we can establish that the bounds of the asymptotic errors is due to the existence of the constraint terms and its Lie derivative with respect to (f, G, k).
内容类型: 期刊论文
URI标识: http://ir.sia.cn/handle/173321/10091
Appears in Collections:沈阳自动化所知识产出(2000年前)_期刊论文

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