Discrete-time Intermittent Iterative Learning Controller with Independent Data Dropouts
Discrete-time Intermittent Iterative Learning Controller with Independent Data Dropouts
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DOI：
10.3182/20080706-5-kr-1001.02106
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发表时间：
2008
期刊：
影响因子：
--
通讯作者：
H. Ahn;K. Moore;Y. Chen
中科院分区：
文献类型：
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作者：
H. Ahn;K. Moore;Y. Chen
摘要在网络控制系统中，设计鲁棒控制器使网络系统在网络传输过程中不受数据丢失的影响是非常必要的。它已被证明，有一个临界的数据丢失率超过该网络系统可能是不稳定的，因此所需的任务无法实现。本文表明，所需的任务或轨迹仍然可以实现，即使有反馈信号辍学，如果所需的任务是重复的，在迭代学习控制的情况下。具体而言，本文展示了如何设计随机迭代学习控制系统，使网络系统的重复任务是鲁棒稳定的测量和过程噪声和独立的，间歇性的输出通道辍学。
Abstract In networked control systems (NCS), it is considered essential to design a robust controller such that the networked-system is stable against data dropouts during the network transfer. It has been shown that there is a critical data dropout rate over which the networked-system could be unstable; hence the desired task cannot be achieved. This paper shows that a desired task or trajectories can be still achieved even though there are feedback signal dropouts if the desired task is repetitive, as in the iterative learning control case. Specifically this paper shows how to design stochastic iterative learning control systems such that the networked-system with a repetitive task is robust stable against measurement and process noises and independent, intermittent output channel dropouts.