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

Liu, Le (2023): The AMLM algorithm for parameter fitting of discrete data. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/9ba76916-6abe-4d75-bfaf-a22bc87787e1.v1

Dataset

• Electrical and Electronic Engineering
• Engineering

Adaptive Multi-Step Levenberg-Marquardt Algorithm (AMLM), parameter fitting

CC0

RefWorks, BibTeX, Reference Manager, Endnote, DataCite, NLM, DC, CFF

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

4TU.ResearchData

.mat

Single-Ended DC Fault Location Method For MMC-Based HVDC Power System Using Adaptive Multi-Step Levenberg-Marquardt Algorithm

TU Delft, Faculty of Electrical Engineering, Mathematics and Computer Science, Department of Electrical Sustainable Energy, IEPG Group