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• W2079266938 abstract "This paper considers the robustness of an inverse iterative learning control algorithm. A simple learning gain results in robust convergence that is monotonic in the least squares sense provided that the multiplicative plant uncertainty satisfies a matrix positivity requirement. The results are extended to the frequency domain using a simple graphical Nyquist test. The analysis extends naturally to a parameter-optimal control setting. Non-monotone convergence is considered by using a simple weighted norm based on exponential weighting of time series." @default.
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• W2079266938 date "2005-05-20" @default.
• W2079266938 modified "2023-10-01" @default.
• W2079266938 title "Discrete-time inverse model-based iterative learning control: stability, monotonicity and robustness" @default.
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• W2079266938 doi "https://doi.org/10.1080/00207170500111606" @default.
• W2079266938 hasPublicationYear "2005" @default.
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