Cascaded Iterative Learning Control for Improved Task Execution of Optimal Control
Author
Summary, in English
Iterative learning control (ILC) is used as a means for task execution of a time sub-optimal trajectory. The use of cascaded ILC procedures in a robot application is experimentally shown to drastically enlarge the region of convergence and efficiently compensate for unmodeled dynamics in the motion system. Objectives considered are the duration of motion, maximum liquid slosh during the motion, and the residual slosh after the motion.
Department/s
Publishing year
2002
Language
English
Pages
1290-1295
Publication/Series
Proceedings of IEEE International Conferance on Robotics and Automation (ICRA'02)
Volume
2
Full text
- Available as PDF - 601 kB
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Document type
Conference paper
Publisher
IEEE - Institute of Electrical and Electronics Engineers Inc.
Topic
- Control Engineering
Keywords
- Motion Control
- Robotics
- Iterative Learning Control (ILC)
Status
Published
ISBN/ISSN/Other
- ISBN: 0-7803-7272-7