Artificial Intelligence Across the PET Reconstruction Pipeline: An Update. [PDF]
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On Initial Conditions in Iterative Learning Control
IEEE Transactions on Automatic Control, 2005Initial conditions, or initial resetting conditions, play a fundamental role in all kinds of iterative learning control methods. In this note, we study five different initial conditions, disclose the inherent relationship between each initial condition and corresponding learning convergence (or boundedness) property.
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Iterative Identification of Feedforward Controllers for Iterative Learning Control
IFAC Proceedings Volumes, 2009Abstract One the the main disadvantages to the standard iterative learning control (ILC) problem is that the learning filter is static and does not update based on the current iteration information. This means that while the learning control is updating the feedforward control input, the learning controller itself is not updating.
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