Add to ORKGA structure detection test which distinguishes between linear and nonlinear dynamic effects in the system response and model validity check which indicate deficiencies in estimated nonlinear models are derived
Correlation and calibration using test data are natural ingredients in the process of validating com...
System identification is a powerful technique to build a model from measurement data by using method...
Nonlinear system identification techniques are formulated to generate models of modes in physical st...
Before nonlinear identification routines are applied the experimenter should attempt to determine if...
A structure detection test which distinguishes between linear and nonlinear dynamic effects in the s...
Structural nonlinearity is a common phenomenon encountered in engineering structures under dynamic l...
Time series model validity tests based on general correlations are presented in this paper. It is sh...
The objective of this paper is to find the structure of a nonlinear system from measurement data, as...
Structure validation means establishing that the relationships used in a model are an adequate repre...
In industrial structural dynamics problems, linear FE-models commonly serve to represent the global ...
A general structure detection and parameter estimation algorithm is derived for the identification o...
Large linear finite element models are commonly used in industry to represent global structural beha...
The article proposes a structural identification algorithm based on test results of the multidimensi...
Abstract: An approach to estimate the plausible number of parameters in a nonlinear model in an iden...
A procedure to identify nonlinear structural systems caused by quadratic or cubic stiffness nonlinea...
Correlation and calibration using test data are natural ingredients in the process of validating com...
System identification is a powerful technique to build a model from measurement data by using method...
Nonlinear system identification techniques are formulated to generate models of modes in physical st...
Before nonlinear identification routines are applied the experimenter should attempt to determine if...
A structure detection test which distinguishes between linear and nonlinear dynamic effects in the s...
Structural nonlinearity is a common phenomenon encountered in engineering structures under dynamic l...
Time series model validity tests based on general correlations are presented in this paper. It is sh...
The objective of this paper is to find the structure of a nonlinear system from measurement data, as...
Structure validation means establishing that the relationships used in a model are an adequate repre...
In industrial structural dynamics problems, linear FE-models commonly serve to represent the global ...
A general structure detection and parameter estimation algorithm is derived for the identification o...
Large linear finite element models are commonly used in industry to represent global structural beha...
The article proposes a structural identification algorithm based on test results of the multidimensi...
Abstract: An approach to estimate the plausible number of parameters in a nonlinear model in an iden...
A procedure to identify nonlinear structural systems caused by quadratic or cubic stiffness nonlinea...
Correlation and calibration using test data are natural ingredients in the process of validating com...
System identification is a powerful technique to build a model from measurement data by using method...
Nonlinear system identification techniques are formulated to generate models of modes in physical st...