MATEC Web of Conferences
Volume 13, 2014ICPER 2014 - 4th International Conference on Production, Energy and Reliability
|Number of page(s)||5|
|Section||Energy and Fuel Technology|
|Published online||17 July 2014|
Nonlinear System Identification via Basis Functions Based Time Domain Volterra Model
1 Mechanical Engineering Department, Universiti Teknologi Petronas, Malaysia
2 Civil Engineering Department, Universiti Teknologi Petronas, Malaysia
a Corresponding author: firstname.lastname@example.org
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 experimentally from a scaled 1:100 model of a prototype truss spar platform. Identification results in time and frequency domain are presented and coherent functions are performed to check the quality of the identification results. It is shown that results between experimental data and proposed method are in good agreement.
© Owned by the authors, published by EDP Sciences, 2014
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