Open-Closed-Loop Iterative Learning Control Strategy Applied to Non-repetitive Systems Characterized by Iteratively Variable Trajectory Lengths

This paper focuses on non - repetitive systems characterized by variable trajectory lengths. The feedforward part is designed to make the tracking errors converge iteratively with respect to the expected value. On the other hand, the feedback control mechanism is utilized to make up for the tracking information that was absent in previous cycles. When a constant expected value is established, the initial state of every instance remains uniform and is in line with this expected value. Through numerical examples, it can be seen that this approach showcases remarkable learning capabilities and robustness within non - repetitive systems. It efficiently diminishes tracking errors and eventually accomplishes a stable control outcome.