Machine learningAdaptive Control
迭代学习控制
迭代学习控制（ILC）是一种用于执行相同任务的系统的控制方法（在固定时间间隔内进行轨迹跟踪）。其核心思想是利用先前试验的误差信息来更新下一次试验的输入，从而逐步提高跟踪精度。ILC由Arimoto等人于1984年开创，非常适用于机器人制造、半导体加工以及任何需要高精度重复相同运动的应用。
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来源
- Arimoto, S., Kawamura, S., & Miyazaki, F. (1984). Bettering operation of robots by learning. Journal of Robotic Systems, 1(2), 123-140. DOI: 10.1002/rob.4620010203 ↗
- Moore, K. L. (1993). Iterative learning control for trajectory tracking. Advances in Industrial Control, Springer-Verlag. link ↗
- Bien, Z., & Xu, J. X. (2007). Iterative Learning Control: Analysis, Design, Integration and Applications. Kluwer Academic Publishers. link ↗
如何引用本页
ScholarGate. (2026, June 3). Iterative Learning Control. ScholarGate. https://scholargate.app/zh/control-theory/iterative-learning-control
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