Multivariable Model-less Feedforward Control of a Monolithic Nanopositioning Stage with FIR Filter Inversion

Omidbeike, Meysam; Eielsen, Arnfinn A.; Yong, Yuen Kuan; Fleming, Andrew J.

doi:10.1109/marss.2019.8860974

Cited by 8 publications

(1 citation statement)

References 21 publications

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“…This effectively bridges the gap between existing parametric model-based ILC, IIC, and Lifted ILC. The developed FIR design method is closely related to the frequency sampling method presented [11], which has been adapted for feedforward control in [12], [13], for repetitive control in [14], and this paper extends its application to ILC. This article considers the complete rejection of trial-invariant disturbances.…”

Section: Introductionmentioning

confidence: 99%

Frequency Response Function-Based Learning Control: Analysis and Design for Finite-Time Convergence

Rozario

Oomen

2023

IEEE Trans. Automat. Contr.

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