The advent of easy access to large amount of data has sparked interest in directly
develo** the relationships between input and output of dynamic systems. A challenge is …

We propose a data-driven robust iterative learning control (ILC) technique to multi-input-
multi-output (MIMO) linear systems. Control of MIMO linear systems, particularly with strong …

The advent of easy access to large amount of data has sparked interest in directly
develo** the relationships between input and output of dynamic systems. A challenge is …

This dissertation investigates how the easy access to large amount of data and cheap
computation power will benefit the usage of the inverse models for trajectory control. In …

In this paper, a data-driven iterative learning control approach to multi-input-multi-output
(MIMO) systems with strong cross-axis coupling is proposed. Iterative learning control (ILC) …

Along with the develo** technology, robotic systems have started to take place in areas
where there is one-to-one interaction with people, as well as their use in industrial areas. As …

Data-driven iterative learning control (ILC) can achieve improved tracking performance over
model-based ILC by eliminating fitting error from parametric system representations. Existing …

摘要由數據驅動的迭代學習控制可以通過消除參數系統表示中的擬合誤差,
並實現了比基於模型的迭代學習控制更優秀的軌跡追蹤性能. 在頻域中, 目前現有的數據驅動 …