Fractional power NARX model identification using a harmony search algorithm
Date
2012-07-04T00:00:00Z
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Hua-Liang Wei, Yifan Zhao, Stephen A. Billings, Jia Zhao. Fractional power NARX model identification using a harmony search algorithm. Proceedings of the IEEE International Conference on Computational Intelligence for Measurement Systems and Applications, 2-4 July 2012, Tianjin, China.
Abstract
A novel type of discrete-time fractional-powernonlinear autoregressive with exogenous input (FPNARX) modelis introduced for system identification, modeling and prediction.Parameter estimation of such a model is a nonlinear optimizationproblem. A harmony search algorithm is then applied to solvesuch fractional models. Examples of both simulated and real dataare provided.
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2012 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works.