Stochastic P-type/D-type iterative learning control algorithms
This paper presents stochastic algorithms that compute optimal and sub-optimal learning gains for a P-type iterative learning control algorithm (ILC) for a class of discrete-time-varying linear systems. The optimal algorithm is based on minimizing the trace of the input error covariance matrix. The...
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| Format: | article |
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2003
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| Online Access: | http://hdl.handle.net/10725/11168 https://doi.org/10.1080/0020717031000077717 http://libraries.lau.edu.lb/research/laur/terms-of-use/articles.php https://www.tandfonline.com/doi/abs/10.1080/0020717031000077717 |
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