Normalized finite fractional differences are considered as an approximation to the Grunwald-Letnikov fractional difference. In particular, adaptive finite fractional difference (AFFD) is recalled and effectively modified by the introduction of a time-varying forgetting factor. The modified AFFD is shown in simulations to provide an excellent approximation performance, both in terms of the modeling accuracy and robustness.
Published in:
Methods and Models in Automation and Robotics (MMAR), 2012 17th International Conference on
Date of Conference: 27-30 Aug. 2012