Citation:
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.