The AMLM algorithm for parameter fitting of discrete data

doi: 10.4121/9ba76916-6abe-4d75-bfaf-a22bc87787e1.v1
The doi above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
doi: 10.4121/9ba76916-6abe-4d75-bfaf-a22bc87787e1
Datacite citation style:
Liu, Le (2023): The AMLM algorithm for parameter fitting of discrete data. Version 1. 4TU.ResearchData. dataset.
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite
by Le Liu

This MATLAB code, which pertains to the Adaptive Multi-step Levenberg-Marquardt (AMLM) algorithm, can be utilized for the nonlinear parameter fitting of discrete data. The input data is particularly required for power system current or voltage signals, which are supposed to be fitted to an exponential function.

  • 2023-09-14 first online, published, posted
TU Delft, Faculty of Electrical Engineering, Mathematics and Computer Science, Department of Electrical Sustainable Energy, IEPG Group


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