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- W3011198854 abstract "Iterative learning control is a well established method applicable to systems that repeat the same finite duration task over and over again. The mechanism is to use information from the previous repetition to update the control input for the next repetition and thereby sequentially improve performance. Given that it directly regulates the control input, there may be cases where the levels of control action breach the safe operating range of the actuators used. This paper develops a new design for the case when a limit is placed on the control action allowed. The analysis represents the dynamics in a 2D systems setting and uses the stability theory for the particular case of repetitive processes as a basis for analysis and design." @default.
- W3011198854 created "2020-03-23" @default.
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- W3011198854 date "2019-12-01" @default.
- W3011198854 modified "2023-09-28" @default.
- W3011198854 title "Constrained Observer Based Iterative Learning Control Design in the Repetitive Process Setting" @default.
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- W3011198854 doi "https://doi.org/10.1109/cdc40024.2019.9028906" @default.
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