Two level Differential Evolution algorithms for ARMA parameters estimation

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dc.contributor.authorSalami, Momoh-Jimoh E.
dc.contributor.authorTijani, Ismaila B.
dc.contributor.authorAbdullateef, Ayodele I.
dc.contributor.authorAibinu, Musa A.
dc.date.accessioned2019-10-16T13:40:26Z
dc.date.available2019-10-16T13:40:26Z
dc.date.issued2013-06-19
dc.description.abstractThe problem of determining simultaneously the model order and coefficient of an Autoregressive Moving Average (ARMA) model is examined in this paper. An Evolutionary Algorithm (EA) comprising two-level Differential Evolution (DE) optimization scheme is proposed. The first level searches for the appropriate model order while the second level computes the optimal/sub-optimal corresponding parameters. The performance of the algorithm is evaluated using both simulated ARMA models and practical rotary motion system. The results of both examples show the effectiveness of the proposed algorithm over a well known conventional technique.en_US
dc.identifier.citationSalami, M. J. E., Tijani, I. B., Abdullateef, A. I., & Aibinu, M. A. (2013, June). Two level Differential Evolution algorithms for ARMA parameters estimation. In 2013 IEEE 8th Conference on Industrial Electronics and Applications (ICIEA) (pp. 1337-1342). IEEE.en_US
dc.identifier.urihttp://repository.elizadeuniversity.edu.ng/handle/20.500.12398/543
dc.language.isoenen_US
dc.publisherIEEEen_US
dc.subjectARMAen_US
dc.subjectDifferential Evolutionen_US
dc.subjectEvolutionary optimizationen_US
dc.subjectSystem identificationen_US
dc.titleTwo level Differential Evolution algorithms for ARMA parameters estimationen_US
dc.title.alternative2013/6/19en_US
dc.typeArticleen_US
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