article · 2004
On iterative learning control
Cited by 3Abstract and details only
Abstract
We describe a new type of iterative learning control (ILC) which seeks the desired input in an appropriate finite dimensional input subspace. The method achieves perfect tracking for a class of uncertain systems without using time derivative of tracking error signals in the learning law. Its effectiveness is demonstrated by experiments. In addition, an application of the ILC method to continuous-time model identification is shown.
Cite this paper
Sugie, T. (2004). On iterative learning control. https://doi.org/10.1109/icks.2004.1313427
Sugie, T. “On iterative learning control.” 2004, pp. 214–20, https://doi.org/10.1109/icks.2004.1313427.
Sugie, T. 2004. “On iterative learning control.” https://doi.org/10.1109/icks.2004.1313427.
Sugie, T. (2004) ‘On iterative learning control’. Available at: https://doi.org/10.1109/icks.2004.1313427.
@article{sugie2004iterative,
title = {{On iterative learning control}},
author = {Sugie, T.},
pages = {214--220},
year = {2004},
doi = {10.1109/icks.2004.1313427}
}Made from the index record. Check names, capitalisation and page numbers against the paper. Need another style? AI for Research has over 10,000.
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