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• W1531033187 abstract "In this paper, the problem of error-constrained adaptive iterative learning control is presented for a class of nonlinear systems which performs a given task over a finite time interval repeatedly, where the fuzzy system is used to approximate the unknown nonlinearity. Different from the output tracking control, the error tracking approach is used to deal with arbitrary initial conditions. An improved logarithmic barrier Lyapunov function is given to design an adaptive iterative learning controller, by applying the error tracking approach. It is shown that the practical tracking error trajectory is ensured to converge to the desired error trajectory as the iteration increases, and kept in the pre-specified region all the time. An illustrative example is presented to demonstrate the effectiveness of the proposed method." @default.
• W1531033187 created "2016-06-24" @default.
• W1531033187 creator A5013531859 @default.
• W1531033187 creator A5044967976 @default.
• W1531033187 date "2015-05-01" @default.
• W1531033187 modified "2023-09-25" @default.
• W1531033187 title "Barrier Lyapunov function-based fuzzy adaptive iterative learning control" @default.
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• W1531033187 doi "https://doi.org/10.1109/ccdc.2015.7162417" @default.
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