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Parameter Estimatio...
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Guel-Cortez, Adrian JosueCoventry University, Centre for fluid and complex systems, Coventry, United Kingdom
(författare)
Parameter Estimation of Fractional-Order Systems via Evolutionary Algorithms and the Extended Fractional Kalman Filter
- Artikel/kapitelEngelska2023
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Institute of Electrical and Electronics Engineers (IEEE),2023
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printrdacarrier
Nummerbeteckningar
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LIBRIS-ID:oai:DiVA.org:kth-334451
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https://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-334451URI
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https://doi.org/10.1109/ICFDA58234.2023.10153299DOI
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Språk:engelska
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Sammanfattning på:engelska
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Ämneskategori:ref swepub-contenttype
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Ämneskategori:kon swepub-publicationtype
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Part of ISBN 9798350321685QC 20230821
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As fractional-order models increasingly appear as an option to describe complex systems, they generate a demand for parameter estimation methods in the time and frequency domain. The extended Kalman filter (EKF) is a promising technique in the time domain, but it is sensitive to the initial conditions of the state and error covariance matrices. In the case of integer-order systems, evolutionary algorithms (EAs) can tackle EKF's sensitiveness issues. The algorithm usually uses EAs to optimise the initial conditions for the EK, leading to a better estimate of the system parameters and states. Here, we extend this methodology to fractional-order models to estimate the model's fractional order and parameters. Finally, we demonstrate the effectiveness of this methodology on a simple mechanical model.
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Kim, Eun JinCoventry University, Centre for fluid and complex systems, Coventry, United Kingdom
(författare)
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Chamorro Vera, Harold ReneKTH,Elkraftteknik(Swepub:kth)u12rc2ga
(författare)
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Coventry University, Centre for fluid and complex systems, Coventry, United KingdomElkraftteknik
(creator_code:org_t)
Sammanhörande titlar
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Ingår i:2023 International Conference on Fractional Differentiation and Its Applications, ICFDA 2023: Institute of Electrical and Electronics Engineers (IEEE)
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