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• W2142351125 abstract "This note demonstrates that the design of a robust iterative learning control is straightforward for uncertain linear time-invariant systems satisfying the robust performance condition. It is shown that once a controller is designed to satisfy the well-known robust performance condition, a convergent updating rule involving the performance weighting function can be directly obtained. It is also shown that for a particular choice of this weighting function, one can achieve a perfect tracking. In the case where this choice is not allowable, a sufficient condition ensuring that the least upper bound of the /spl Lscr//sub 2/-norm of the final tracking error is less than the least upper bound of the /spl Lscr//sub 2/-norm of the initial tracking error is provided. This sufficient condition also guarantees that the infinity-norm of the final tracking error is less than the infinity-norm of the initial tracking error." @default.
• W2142351125 created "2016-06-24" @default.
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• W2142351125 date "2003-01-01" @default.
• W2142351125 modified "2023-10-18" @default.
• W2142351125 title "Robust iterative learning control design is straightforward for uncertain LTI systems satisfying the robust performance condition" @default.
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• W2142351125 doi "https://doi.org/10.1109/tac.2002.806659" @default.
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