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

Noshadi, Amin, Shi, Juan ORCID: 0000-0002-5057-1093, Lee, Wee Sit, Shi, Peng and Kalam, Akhtar ORCID: 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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Item Type: Book Section
ISBN: 9781479928378 (print) 9781479928385 (print)
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Paper FrC3.2

Uncontrolled Keywords: system modelling, system identification, nonlinear systems, nonlinear control, complex systems, optimal controller design, controllers, controls, closed-loop system
Subjects: FOR Classification > 0906 Electrical and Electronic Engineering
Faculty/School/Research Centre/Department > College of Science and Engineering
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Depositing User: Ms Julie Gardner
Date Deposited: 26 May 2015 07:03
Last Modified: 16 Sep 2019 23:07
URI: http://vuir.vu.edu.au/id/eprint/25374
DOI: https://doi.org/10.1109/ICCA.2014.6871108
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Citations in Scopus: 19 - View on Scopus

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