A novel repetitive learning control method is proposed for the tracking or rejection of unknown periodic reference or disturbance with a known period.
为跟踪或抑制仅周期已知的未知周期参考或扰动信号，提出一种新的重复学习控制方法。
A periodic mixed adaptive law and an adaptive repetitive learning control one are constructed to ensure the asymptotic convergence of the tracking error in the sense of square error norm.
通过引入参数周期自适应律，设计出的自适应控制策略，使跟踪误差平方在一个周期上的积分范数渐近收敛于零。
In this paper a PD iterative learning control method for robots with repetitive operation is proposed.
针对具有可重复工作方式的机器人，提出了一种PD迭代学习控制方法。
Direct learning control(DLC) can fully utilize the pre-stored control profiles and it can directly generate the desired control without any repetitive learning process.
直接学习控制能够充分利用系统的先前控制经验，直接产生期望控制信号，不需要任何重复的学习过程。
Model reference control and repetitive control were applied in multi-channel electric hydraulic synchron-force servo loading system, and a new control method based on online learning was put forward.
将模型参考控制和重复控制相结合应用到多通道电液力同步加载系统中，提出了一种在线学习控制的新方法。
Iterative learning control is a new control technology, which is a branch of intelligent control theory and particularly suitable for a controlled object with a repetitive motion.
迭代学习控制是一种新兴控制技术，它是智能控制理论的一个分支，特别适合于具有重复运动特性的被控对象。
For repetitive movements of the objects, iterative learning control is an positive and effective control method.
对于具有重复运动性质的对象，迭代学习控制是一种有效的控制方法。
For repetitive movements of the objects, iterative learning control is an positive and effective control method.
对于具有重复运动性质的对象，迭代学习控制是一种有效的控制方法。
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