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- W2165536324 abstract "A model predictive controller based on iterative learning control is proposed. This algorithm which combines real-time control with iterative learning control is developed to address the trajectory tracking for a class of repetitive system with non-repetitive disturbances. First, a generic model which describes the state transition of a time-varying linear repetitive system along batch indices as well as time indices is derived in a temporal state space form. Based on this model, predictive control algorithm that utilizes past data along with real-time measurements is devised. Then iterative learning control law is given. It is shown that, by using this algorithm, perfect tracking can be achieved as the number of iteration grows." @default.
- W2165536324 created "2016-06-24" @default.
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- W2165536324 date "2011-05-01" @default.
- W2165536324 modified "2023-09-23" @default.
- W2165536324 title "Design of model predictive controller based on iterative learning control" @default.
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- W2165536324 doi "https://doi.org/10.1109/ccdc.2011.5968967" @default.
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