Learning Control Without Prior Models: Multi-Variable Model-Free IIC, with application to a Wide-Format Printer-Reference-Cited by-同舟云学术

Learning Control Without Prior Models: Multi-Variable Model-Free IIC, with application to a Wide-Format Printer

Published:2019 Issue:15 Volume:52 Page:91-96
ISSN:2405-8963
Container-title:IFAC-PapersOnLine
language:en
Short-container-title:IFAC-PapersOnLine

Author:

Rozario Robin de,Oomen Tom

Publisher

Elsevier BV

Subject

Control and Systems Engineering

Reference19 articles.

1. A norm optimal approach to time-varying ILC with application to a multi-axis robotic testbed;Barton;IEEE Trans. Control Systems Technology,2011

2. Multivariable repetitive control design framework applied to flatbed printing with continuous media flow. In Conf. Decision and Control, 4727-4732;Blanken,2017

3. A survey of iterative learning control;Bristow;IEEE Control Syst. Mag,2006

4. Iterative control for periodic tasks with robustness considerations, applied to a nanopositioning stage;de Rozario;IFAC-PapersOnLine,2016

5. Improving transient learning behavior in model-free inversion-based iterative control with application to a desktop printer. In Proc. 15th Int. Workshop on Advanced Motion Control, Tokyo, Japan;de Rozario,2018

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3. Model-free Multi-variable Learning Control of a Five Axis Nanopositioning Stage;2021 IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM);2021-07-12