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• W2059413754 abstract "This paper presents an experimental validation of a recently proposed robust norm-optimal iterative learning control (ILC). The robust ILC input is computed by minimizing the worst-case value of a performance index under model uncertainty, yielding a convex optimization problem. The proposed robust ILC design is experimentally validated on a lab scale overhead crane system, showing the advantages of the approach over classical ILC designs in monotonic convergence and tracking performance." @default.
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• W2059413754 date "2014-01-01" @default.
• W2059413754 modified "2023-10-03" @default.
• W2059413754 title "Experimental Validation of Robust Iterative Learning Control on an Overhead Crane Test Setup" @default.
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• W2059413754 doi "https://doi.org/10.3182/20140824-6-za-1003.01707" @default.
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