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• W2899387110 abstract "This technical note addresses an adaptive iterative learning control (AILC) problem for nonlinear dynamical systems with partially unknown iteration-varying parameter. Referring to the scheme of state-space, an AILC effort is presented for randomly varying reference tracking together with initial shift problem in iteration domain. Furthermore, the AILC technique is extended to systems with several parameters in discussion. A simulation example confirms the validity of the proposed method." @default.
• W2899387110 created "2018-11-09" @default.
• W2899387110 creator A5051349066 @default.
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• W2899387110 date "2018-05-01" @default.
• W2899387110 modified "2023-10-03" @default.
• W2899387110 title "Adaptive Iterative Learning Control Mechanism for Nonlinear Systems subject to High-Order Internal Model" @default.
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• W2899387110 doi "https://doi.org/10.1109/ddcls.2018.8515997" @default.
• W2899387110 hasPublicationYear "2018" @default.
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