An Accelerating Iterative Learning Control Based on an Adjustable Learning Interval
An iterative learning control algorithm with an adjustable interval is proposed for nonlinear systems to accelerate the convergence rate of iterative learning control. For λ-norm, the monotonic convergence of ILC was analyzed, and the corresponding convergence conditions were obtained. The results s...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2017-01-01
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| Series: | Journal of Control Science and Engineering |
| Online Access: | http://dx.doi.org/10.1155/2017/1731676 |
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