Sampled-data iterative learning control
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Mingxuan Sun; Danwei Wang
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Article
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2001
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Elsevier Science
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English
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In this paper, a sampled-data iterative learning control method is proposed for nonlinear systems without restriction on system relative degree. The learning algorithm does not require numerical di!erentiations of any order from the tracking error. A su$cient condition is derived to guarantee the co