Iterative learning control with predictive trial information: convergence, robustness and experimental verifications
Iterative learning control (ILC) is a control design method for high-performance trajectory tracking. Most existing results achieve this by learning from information collected over the past executions of the task (named trials). This brief proposes a novel ILC design framework that updates the contr...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
2015-09-28.
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| Subjects: | |
| Online Access: | Get fulltext |