Two level Differential Evolution algorithms for ARMA parameters estimation

Please use this identifier to cite or link to this item: http://repository.elizadeuniversity.edu.ng/jspui/handle/20.500.12398/543

Title:	Two level Differential Evolution algorithms for ARMA parameters estimation
Other Titles:	2013/6/19
Authors:	Salami, Momoh-Jimoh E. Tijani, Ismaila B. Abdullateef, Ayodele I. Aibinu, Musa A.
Keywords:	ARMA Differential Evolution Evolutionary optimization System identification
Issue Date:	19-Jun-2013
Publisher:	IEEE
Citation:	Salami, 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.
Abstract:	The 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.
URI:	http://repository.elizadeuniversity.edu.ng/jspui/handle/20.500.12398/543
Appears in Collections:	Research Articles

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