Exploring the use of deep learning in task-flexible ILC*
Author:
Affiliation:
1. Eindhoven University of Technology,Department of Electrical Engineering,Eindhoven,The Netherlands
2. ASML,Veldhoven,The Netherlands
3. Institute for Computer Science and Control,Systems and Control Laboratory,Hungary
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10155646/10155787/10156467.pdf?arnumber=10156467
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1. Basis Task Approach to Iterative Learning Control With Applications to Micro-Robotic Deposition
2. Rational basis functions to attenuate vibrating flexible modes with compensation of input nonlinearity: Applied to semiconductor wire bonder;van hulst;MSc Thesis,2022
3. Design and control of high tech systems
4. The generalization of feedforward control for a periodic motion system;bosma,2019
5. Trajectory planning and feedforward design for electromechanical motion systems
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