Genetic algorithm-based system identification of active magnetic bearing system: A frequency-domain approach

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Noshadi, Amin, Shi, Juan ORCID logoORCID: https://orcid.org/0000-0002-5057-1093, Lee, Wee Sit, Shi, Peng and Kalam, Akhtar ORCID logoORCID: https://orcid.org/0000-0002-5933-6380 (2014) Genetic algorithm-based system identification of active magnetic bearing system: A frequency-domain approach. In: 2014 11th IEEE International Conference on Control & Automation (ICCA 2014), Taichung, Taiwan 18-20 June 2014. IEEE, Piscataway, New Jersey, pp. 1281-1286.

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Paper FrC3.2
Item type Book Section
URI https://vuir.vu.edu.au/id/eprint/25374
DOI 10.1109/ICCA.2014.6871108
Official URL http://ieeexplore.ieee.org/xpl/articleDetails.jsp?...
ISBN 9781479928378 (print) 9781479928385 (print)
Subjects Historical > FOR Classification > 0906 Electrical and Electronic Engineering
Current > Division/Research > College of Science and Engineering
Keywords system modelling, system identification, nonlinear systems, nonlinear control, complex systems, optimal controller design, controllers, controls, closed-loop system
Citations in Scopus 26 - View on Scopus
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