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Fractional power NARX model identification using a harmony search algorithm.

Authors :
Wei, Hua-Liang
Zhao, Yifan
Billings, Stephen A.
Zhao, Jia
Source :
2012 IEEE International Conference on Computational Intelligence for Measurement Systems & Applications (CIMSA) Proceedings; 1/ 1/2012, p102-107, 6p
Publication Year :
2012

Abstract

A novel type of discrete-time fractional-power nonlinear autoregressive with exogenous input (FPNARX) model is introduced for system identification, modeling and prediction. Parameter estimation of such a model is a nonlinear optimization problem. A harmony search algorithm is then applied to solve such fractional models. Examples of both simulated and real data are provided. [ABSTRACT FROM PUBLISHER]

Details

Language :
English
ISBNs :
9781457717789
Database :
Complementary Index
Journal :
2012 IEEE International Conference on Computational Intelligence for Measurement Systems & Applications (CIMSA) Proceedings
Publication Type :
Conference
Accession number :
86555401
Full Text :
https://doi.org/10.1109/CIMSA.2012.6269591