Parametric and non-parametric identification of a two dimensional flexible structure

被引:12
作者
Darus, I. Z. Mat [1 ]
Tokhi, M. O.
机构
[1] Univ Technol Malaysia, Dept Mech Engn, Kuala Lumpur, Malaysia
[2] Univ Sheffield, Dept Automat Control & Syst Engn, Sheffield S10 2TN, S Yorkshire, England
来源
JOURNAL OF LOW FREQUENCY NOISE VIBRATION AND ACTIVE CONTROL | 2006年 / 25卷 / 02期
关键词
D O I
10.1260/026309206778494274
中图分类号
O42 [声学];
学科分类号
070206 ; 082403 ;
摘要
An investigation into the parametric and non-parametric modelling of a two dimensional flexible plate structure is presented in this paper. The parametric approaches obtaining linear parametric models of the system using recursive least squares and genetic algorithms. The non-parametric models of the system are developed using a non-linear AutoRegressive process with eXogeneous input model with multi-layered perceptron neural networks, Elman recurrent neural networks and adaptive neuro-fuzzy inference systems. The models are validated using several validation tests including input-output mapping, mean squares of error and correlation tests. A comparative assessment of the techniques used is presented and discussed in terms of accuracy, efficiency and performance in estimating the modes of vibration of the system.
引用
收藏
页码:119 / 143
页数:25
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