Nonlinear System Identification via Basis Functions Based Time Domain Volterra Model

Nonlinear System Identification via Basis Functions Based Time Domain Volterra Model

This paper proposes basis functions based time domain Volterra model for nonlinear system identification. The Volterra kernels are expanded by using complex exponential basis functions and estimated via genetic algorithm (GA). The accuracy and practicability of the proposed method are then assessed...

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Bibliographic Details
Main Authors: Yazid Edwar, Liew M.S., Parman Setyamartana, Kurian V.J., Ng C.Y.
Format: Article
Language:English
Published: EDP Sciences 2014-07-01
Series:MATEC Web of Conferences
Online Access:http://dx.doi.org/10.1051/matecconf/20141302031

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