摘要
系统论述了迭代学习控制的发展历史、研究进展。指出了基于可重复性的经典迭代学习控制特点与不足,阐述了迭代学习控制理论的现状:线性与非线性迭代学习、因果与非因果型迭代学习、滤波器型与鲁棒H∞迭代学习、高阶与最优迭代学习、2D复合迭代学习、迭代域超级矢量w变换学习系统分析理论等。简要介绍了与Lyapunov方法结合的新迭代学习控制,最后讨论了迭代学习控制存在问题和发展趋势。同时给出了几个迭代学习控制在工程应用中的成功范例。
The history and current research of iterative learning control（ILC） are reviewed. The feature and disadvantage of classic ILC based on repeatable control environment are discussed. The current state on ILC field are surveyed, including linear and nonlinear ILC, causal and non-causal ILC, fiheral ILC, robust H∞ ILC, higher order ILC, optimal ILC, 2D synthesis ILC, iterative domain analysis method based on super-vector ILC system etc. New control strategy of ILC combined with Lyapunov method is discussed. Existing problems and trends are presented. And ILC examples of engineering application are synchronously given.
出处
《控制工程》
CSCD
北大核心
2009年第3期286-290,共5页
Control Engineering of China
基金
国家自然科学基金资助项目(50375102)
关键词
迭代学习控制
综述
智能控制
iterative learning control
survey
intelligent control
