A frequency‐domain noniterative algorithm for structural parameter identification of shear buildings subjected to frequent earthquakes

2019 ◽  
Vol 35 (6) ◽  
pp. 615-627
Author(s):  
Jingyao Zhang ◽  
Takayoshi Aoki
Keyword(s):  
Parameter Identification ◽  
Frequency Domain ◽  
Structural Parameter ◽  
Shear Buildings

Structural Parameter Identification in the Frequency Domain: The Use of Overdetermined Systems

1987 ◽  
Vol 109 (2) ◽  
pp. 120-123 ◽  
Author(s):  
S. G. Braun ◽  
Y. M. Ram
Keyword(s):  
Transfer Function ◽  
Parameter Identification ◽  
Frequency Domain ◽  
Rational Function ◽  
Least Square ◽  
Structural Parameter ◽  
Overdetermined Systems ◽  
The Matrix ◽  
Domain Transfer

This paper deals with the fitting of a rational function to an experimentally determined frequency domain transfer function. Examples show that the use of overdetermined fitted systems improve the identification in noisy situations. A method is presented, enabling the determination of the number of zero/poles of the system, and the relation to the rank of the matrix used in a least square identification method.

Non-probabilistic uncertain inverse problem method considering correlations for structural parameter identification

2021 ◽  
Author(s):  
Heng Ouyang ◽  
Jie Liu ◽  
Xu Han ◽  
Bingyu Ni ◽  
Guirong Liu ◽  
...  
Keyword(s):  
Inverse Problem ◽  
Parameter Identification ◽  
Structural Parameter ◽  
Problem Method ◽  
Inverse Problem Method

Fourier Series-Based Neural Networks for Vehicle System Identification

1999 ◽  
Author(s):  
Imtiaz Haque ◽  
Juergen Schuller
Keyword(s):  
Neural Networks ◽  
Fourier Series ◽  
System Identification ◽  
Transfer Function ◽  
Parameter Identification ◽  
Frequency Domain ◽  
Vehicle System ◽  
Non Linear ◽  
Function Identification ◽  
Non Linear System

Abstract The use of neural networks in system identification is an emerging field. Neural networks have become popular in recent years as a means to identify linear and non-linear systems whose characteristics are unknown. The success of sigmoidal networks in parameter identification has been limited. However, harmonic activation-based neural networks, recent arrivals in the field of neural networks, have shown excellent promise in linear and non-linear system parameter identification. They have been shown to have excellent generalization capability, computational parallelism, absence of local minima, and good convergence properties. They can be used in the time and frequency domain. This paper presents the application of a special class of such networks, namely Fourier Series neural networks (FSNN) to vehicle system identification. In this paper, the applications of the FSNNs are limited to the frequency domain. Two examples are presented. The results of the identification are based on simulation data. The first example demonstrates the transfer function identification of a two-degree-of freedom lateral dynamics model of an automobile. The second example involves transfer function identification for a quarter car model. The network set-up for such identification is described. The results of the network identification are compared with theory. The results indicate excellent prediction properties of such networks.

Structural parameter identification for flexible spacecraft

1984 ◽  
Author(s):  
S. HENDRICKS ◽  
S. HAYES ◽  
J. JUNKINS
Keyword(s):  
Parameter Identification ◽  
Flexible Spacecraft ◽  
Structural Parameter

Structural parameter identification of a 2.4 MW bottom fixed wind turbine by excitation test using active mass damper

Wind Energy ◽  
2018 ◽  
Vol 21 (11) ◽  
pp. 1232-1238 ◽  
Author(s):  
Sho Oh ◽  
Takeshi Ishihara
Keyword(s):  
Parameter Identification ◽  
Wind Turbine ◽  
Structural Parameter ◽  
Active Mass ◽  
Mass Damper ◽  
Active Mass Damper

Structural Parameter Identification of the Center Support Quadruple Mass Gyro

2017 ◽  
Vol 17 (12) ◽  
pp. 3765-3775 ◽  
Author(s):  
Tian Zhang ◽  
Bin Zhou ◽  
Mingliang Song ◽  
Zhihui Lin ◽  
Shuxin Jin ◽  
...  
Keyword(s):  
Parameter Identification ◽  
Structural Parameter
Sign in / Sign up

Export Citation Format

Share Document