Extrapolated Iterative Learning Control (EILC)

H.W. Gomma (Egypt)


Iterative Learning Control, Control Theory, Prediction


This paper presents a new Iterative Learning Control (ILC) technique that speeds up the learning rate compared to the conventional P-type ILC. This is achieved by reducing the number of performed iterations through the extrapolation of the tracking errors steps ahead. The convergence and stability of the system have also been analysed. In addition, the results have been explained using different simulation examples.

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