๐”– Bobbio Scriptorium
โœฆ   LIBER   โœฆ

Parameters identification of excitation system models using genetic algorithms

โœ Scribed by Puma, J.Q.; Colome, D.G.


Book ID
117811905
Publisher
The Institution of Engineering and Technology
Year
2008
Tongue
English
Weight
230 KB
Volume
2
Category
Article
ISSN
1751-8687

No coin nor oath required. For personal study only.


๐Ÿ“œ SIMILAR VOLUMES


Identification of a hysteresis model par
โœ Krzysztof Chwastek; Jan Szczyglowski ๐Ÿ“‚ Article ๐Ÿ“… 2006 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 167 KB

The paper is concerned about the application of genetic algorithms to the estimation of magnetic hysteresis model parameters, based on the description of magnetization process proposed by Jiles and Atherton. The genetic algorithm approach has been applied to estimation of model parameters for two ma

Using genetic algorithms to optimise mod
โœ Q.J. Wang ๐Ÿ“‚ Article ๐Ÿ“… 1997 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 910 KB

Genetic algorithms are globally oriented in searching and thus potentially useful in solving optimisation problems in which the objective function responses contain multiple optima and other irregularities. The usefulness of genetic algorithms in calibrating environmental models was investigated in