An on-line least squares algorithm has previously been successfully applied to linear vibration systems in order to identify time varying parameters. In this article the limitations of the approach and the factors affecting the identification are further examined. The existence of the nonlinear term is determined by means of the time varying characteristics of the estimated linear parameters using the linear model and the data from a time invariant nonlinear system. The identification of the time varying linear parameters is also examined in accordance with the linear model by using the data with nonlinear elements
A self-starting multistage, time-domain procedure is presented for the identification of nonlinear, ...
This paper presents a regularized nonlinear least-squares-based identification method for linear par...
ii This work presents a new nonlinear, experimental system identification technique, dubbed the Nonl...
An on-line least squares algorithm has previously been successfully applied to linear vibration syst...
In the previous paper, a class of nonlinear system is mapped to a so-called skeleton linear model (S...
Nonlinear phenomena are widely encountered in practical applications. The presence of nonlinearity m...
In this paper a time-domain direct identification method is presented for the identification of vehi...
An identification algorithm of the linear time-varying (LTV) dynamical system is developed in this p...
A variety of systems can be faithfully modeled as linear with coefficients that vary periodically wi...
A variety of systems can be faithfully modeled as linear with coefficients that vary periodically wi...
A new time-varying system identification approach is proposed in this paper by using variational mod...
A new method of identifying parameters of nonlinearly vibrating system in frequency domain is presen...
[ACCESS RESTRICTED TO THE UNIVERSITY OF MISSOURI AT AUTHOR'S REQUEST.] Identification of linear dyna...
The objective of the paper is to explain a modern Hilbert transform method for analysis and identifi...
A self-starting multistage, time-domain procedure is presented for the identification of nonlinear, ...
A self-starting multistage, time-domain procedure is presented for the identification of nonlinear, ...
This paper presents a regularized nonlinear least-squares-based identification method for linear par...
ii This work presents a new nonlinear, experimental system identification technique, dubbed the Nonl...
An on-line least squares algorithm has previously been successfully applied to linear vibration syst...
In the previous paper, a class of nonlinear system is mapped to a so-called skeleton linear model (S...
Nonlinear phenomena are widely encountered in practical applications. The presence of nonlinearity m...
In this paper a time-domain direct identification method is presented for the identification of vehi...
An identification algorithm of the linear time-varying (LTV) dynamical system is developed in this p...
A variety of systems can be faithfully modeled as linear with coefficients that vary periodically wi...
A variety of systems can be faithfully modeled as linear with coefficients that vary periodically wi...
A new time-varying system identification approach is proposed in this paper by using variational mod...
A new method of identifying parameters of nonlinearly vibrating system in frequency domain is presen...
[ACCESS RESTRICTED TO THE UNIVERSITY OF MISSOURI AT AUTHOR'S REQUEST.] Identification of linear dyna...
The objective of the paper is to explain a modern Hilbert transform method for analysis and identifi...
A self-starting multistage, time-domain procedure is presented for the identification of nonlinear, ...
A self-starting multistage, time-domain procedure is presented for the identification of nonlinear, ...
This paper presents a regularized nonlinear least-squares-based identification method for linear par...
ii This work presents a new nonlinear, experimental system identification technique, dubbed the Nonl...