Data for: Data-Driven Feedforward Tuning using Non-Causal Rational Basis Functions: with Application to an Industrial Flatbed Printer

Name: Data for: Data-Driven Feedforward Tuning using Non-Causal Rational Basis Functions: with Application to an Industrial Flatbed Printer
Creator: Lennart Blanken
Published: 2021-04-26T14:25:06.001Z
Keywords: Motion Control, Mechatronics, Feedforward Control System, Iterative Learning Control

Blanken, Lennart

doi:10.17632/tyfrck3p22.1

Data for: Data-Driven Feedforward Tuning using Non-Causal Rational Basis Functions: with Application to an Industrial Flatbed Printer

Published: 26 April 2021| Version 1 | DOI: 10.17632/tyfrck3p22.1

Contributor:

Lennart Blanken

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Simulative demonstration of data-driven feedforward tuning using non-causal rational orthormal basis functions, see [1]. Procedure 1 of [1] is implemented and applied simulations to a model of an industrial flatbed printer. REFERENCE: [1] Lennart Blanken, Sjirk Koekebakker, Tom Oomen, "Data-Driven Feedforward Tuning using Non-Causal Rational Basis Functions: with Application to an Industrial Flatbed Printer". Submitted to IFAC Mechatronics, 2020. AUTHOR: Lennart Blanken DATE: 04 May 2020 Copyright (c) Lennart Blanken. All rights reserved.

Data for: Data-Driven Feedforward Tuning using Non-Causal Rational Basis Functions: with Application to an Industrial Flatbed Printer

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