Norm optimal iterative learning control with intermediate point weighting: theory, algorithms and experimental evaluation
This brief considers the iterative learning control(ILC) problem when tracking is only required at a subset of isolated time points along the trial duration. It presents a norm optimal ILC solution to the problem with well-defined convergence properties, design guidelines, and supporting experimenta...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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2013-05-16.
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| Online Access: | Get fulltext |
| LEADER | 00816 am a22001453u 4500 | ||
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| 001 | 340176 | ||
| 042 | |a dc | ||
| 100 | 1 | 0 | |a Owens, D.H. |e author |
| 700 | 1 | 0 | |a Freeman, C.T. |e author |
| 700 | 1 | 0 | |a Dinh Van, T. |e author |
| 245 | 0 | 0 | |a Norm optimal iterative learning control with intermediate point weighting: theory, algorithms and experimental evaluation |
| 260 | |c 2013-05-16. | ||
| 856 | |z Get fulltext |u https://eprints.soton.ac.uk/340176/1/TCST2196281.pdf | ||
| 520 | |a This brief considers the iterative learning control(ILC) problem when tracking is only required at a subset of isolated time points along the trial duration. It presents a norm optimal ILC solution to the problem with well-defined convergence properties, design guidelines, and supporting experimental results using an electromechanical test facility. | ||
| 655 | 7 | |a Article | |