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...
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 |
Similar Items
-
Application of empirical mode decomposition method for characterization of random vibration signals
by: Setyamartana Parman, et al.
Published: (2016-07-01) -
Identification of models of nonlinear dynamic processes in mining on the basis of Volterra nuclei
by: Morkun Natalia, et al.
Published: (2020-01-01) -
Identification of Volterra kernels for improved predictions of nonlinear aeroelastic vibration responses and flutter
by: Lin, Rongming, et al.
Published: (2020) -
Reduced Complexity Volterra Models for Nonlinear System Identification
by: Hacıoğlu Rıfat, et al.
Published: (2001-01-01) -
Adaptive nonlinear system identification : the volterra and wiener model approaches /
by: 330353 Ogunfunmi, Tokunbo
Published: (2007)