Data-driven continuous-time Hammerstein modeling with missing data using improved Archimedes optimization algorithm

•A modified density-decreasing factor in the AOA provides balance exploration and exploitation phases.•A safe update mechanism is proposed to solve the issue of local optima entrapment in the original AOA.•IAOA provides better accuracy of continuous-time Hammerstein model than the original AOA.•Data...

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Veröffentlicht in:	Results in engineering Jg. 24; S. 103357
Hauptverfasser:	Islam, Muhammad Shafiqul, Ahmad, Mohd Ashraf
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier B.V 01.12.2024 Elsevier
Schlagworte:	Archimedes optimization algorithm Data-driven control with missing data Data-driven Hammerstein modeling Electrical-mechanical positioning system Metaheuristics algorithms Twin rotor system Electrical-mechanical positioning system Metaheuristics algorithms Data-driven Hammerstein modeling Data-driven control with missing data Archimedes optimization algorithm Twin rotor system
ISSN:	2590-1230, 2590-1230
Online-Zugang:	Volltext
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