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- W2913650746 abstract "Complex machine-structure dynamics of a movable stage affects observer-based cutting force estimation. A dynamic compensation approach based on the concept of machine-in-the-loop learning is proposed to enhance the accuracy of cutting force estimation based on a disturbance-observer. Machine dynamics induced estimation errors are pre-compensated by modifying a digital filter representing an inverse disturbance transfer function. The order and parameters of the filter are self-optimized to enhance the estimation accuracy during iterative pre-milling tests with various rotational spindle speeds. The experimental results show that the proposed self-optimized filter achieves accurate wide-band cutting force estimation in milling process." @default.
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- W2913650746 date "2019-01-01" @default.
- W2913650746 modified "2023-09-26" @default.
- W2913650746 title "P.3.07 Targeting emotional dysregulation in adult attention-deficit hyperactivity disorder" @default.
- W2913650746 doi "https://doi.org/10.1016/j.euroneuro.2019.01.069" @default.
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