A self-starting multistage, time-domain procedure is presented for the identification of nonlinear, multi-degree-of-freedom systems undergoing free oscillations or subjected to arbitrary direct force excitations and/or nonuniform support motions. Recursive least-squares parameter estimation methods combined with nonparametric identification techniques are used to represent, with sufficient accuracy, the identified system in a form that allows the convenient prediction of its transient response under excitations that differ from the test signals. The utility of this procedure is demonstrated in a companion paper
This is the author accepted manuscript. The final version is available from Elsevier via the DOI in ...
The objective of the paper is to explain a modern Hilbert transform method for analysis and identifi...
Methods for nonlinear system identification of structures generally require input-output measured da...
A self-starting multistage, time-domain procedure is presented for the identification of nonlinear, ...
A time-domain procedure for the identification of nonlinear vibrating structures, presented in a com...
Nonlinear phenomena are widely encountered in practical applications. The presence of nonlinearity m...
The identification of non-linear dynamic systems is an increasingly important area of research, with...
peer reviewedThis paper introduces a new frequency-domain subspace-based method for the identificati...
Many new theories and methods have been developed for identifying dynamical models of nonlinear eng...
Nonlinearity is characteristic of many structural and mechanical systems. For the purpose of system ...
In the previous paper, a class of nonlinear system is mapped to a so-called skeleton linear model (S...
The industrial demand on good dynamical simulation models is increasing. Since most structures show ...
The industrial demand on good dynamical simulation models is increasing. Since most structures show ...
System identification, which refers to the construction of mathematical models from experimental dat...
The Hilbert-Huang transform (HHT) has been shown to be effective for characterizing a wide range of ...
This is the author accepted manuscript. The final version is available from Elsevier via the DOI in ...
The objective of the paper is to explain a modern Hilbert transform method for analysis and identifi...
Methods for nonlinear system identification of structures generally require input-output measured da...
A self-starting multistage, time-domain procedure is presented for the identification of nonlinear, ...
A time-domain procedure for the identification of nonlinear vibrating structures, presented in a com...
Nonlinear phenomena are widely encountered in practical applications. The presence of nonlinearity m...
The identification of non-linear dynamic systems is an increasingly important area of research, with...
peer reviewedThis paper introduces a new frequency-domain subspace-based method for the identificati...
Many new theories and methods have been developed for identifying dynamical models of nonlinear eng...
Nonlinearity is characteristic of many structural and mechanical systems. For the purpose of system ...
In the previous paper, a class of nonlinear system is mapped to a so-called skeleton linear model (S...
The industrial demand on good dynamical simulation models is increasing. Since most structures show ...
The industrial demand on good dynamical simulation models is increasing. Since most structures show ...
System identification, which refers to the construction of mathematical models from experimental dat...
The Hilbert-Huang transform (HHT) has been shown to be effective for characterizing a wide range of ...
This is the author accepted manuscript. The final version is available from Elsevier via the DOI in ...
The objective of the paper is to explain a modern Hilbert transform method for analysis and identifi...
Methods for nonlinear system identification of structures generally require input-output measured da...