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Maniarski, Robert, 2026, "Source data for: Robust indirect-type iterative learning control design for batch processes with state delay, non-repetitive uncertainties and disturbances", https://doi.org/10.18150/Y9CPDI, RepOD, V1
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A robust indirect-type iterative learning control scheme is developed for batch processes with state delays, time-varying uncertainties, and disturbances. In contrast to direct-type designs, the new scheme consists of two control loops, each of which can be designed independently. In the inner loop, a control law that is the sum of a generalised extended state observer-based state feedback and proportional plus integral control action acting on an error signal is designed for stability and robustness. The outer loop is designed to update the set-point command for the resulting closed-loop system. Finally, the stability theory for linear repetitive processes ensures robust tracking error convergence for the resulting dynamics in the presence of non-repetitive uncertainties and disturbances. Two numerical examples demonstrate the attributes of the new design.
batch processes, iterative learning control, time delay, time- and batch-varying uncertainties, generalised extended state observer
Tao, H., Wei, J., Hao, S., Paszke, W., & Rogers, E. (2025). Robust indirect-type iterative learning control design for batch processes with state delay, non-repetitive uncertainties and disturbances. International Journal of Control, 1–12. ISSN: 1366-5820 https://doi.org/10.1080/00207179.2025.2479189 doi: https://doi.org/10.1080/00207179.2025.2479189
CC BY - Creative Commons Attribution 4.0
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