In this paper, we discuss optimized strategies to measure the frequency response function in the presence of (nonlinear) distortions. To do so we will compare three classes of excitation signals. These signals will be used in an optimized measurement strategy, reducing the leakage effects to acceptable (user defined) levels, allowing to separate the disturbing noise influence from the impact of nonlinear contributions, and resulting in the best linear approximation of the system.status: publishe
In many engineering applications, the level of nonlinear distortions in frequency response function ...
The use of controlled excitation is fundamental to the estimation of multiple input, multiple output...
The study of nonlinear systems has received great attention in recent years because of the necessity...
This paper discusses the impact of nonlinear friction on frequency response function (FRF) measureme...
Higher-order frequency response functions (FRFs) are important to the analysis and identification of...
In this paper, the use of advanced, flexible shaker excitation signals will be investigated with the...
This paper discusses the impact of nonlinear friction on frequency response function (FRF) measureme...
An experiment is designed to identify input-output relations of a mechanical positioning system with...
Nonlinearity in many systems is heavily dependent on component variation and environmental factors s...
International audienceTransmissibility is a well-known linear system concept that has been widely ap...
Although they are generally modelled as linear systems, aircraft structures are known to be prone to...
This work presents a class of time-frequency methods for detecting and characterizing nonlinearity i...
System identification in robotics often involves the estimation of linear models characterizing the b...
Nonlinear Output Frequency Response Functions (NOFRF's) are a new concept recently developed for the...
When deriving an experimental model from Frequency Response Functions (FRFs), it may happen that the...
In many engineering applications, the level of nonlinear distortions in frequency response function ...
The use of controlled excitation is fundamental to the estimation of multiple input, multiple output...
The study of nonlinear systems has received great attention in recent years because of the necessity...
This paper discusses the impact of nonlinear friction on frequency response function (FRF) measureme...
Higher-order frequency response functions (FRFs) are important to the analysis and identification of...
In this paper, the use of advanced, flexible shaker excitation signals will be investigated with the...
This paper discusses the impact of nonlinear friction on frequency response function (FRF) measureme...
An experiment is designed to identify input-output relations of a mechanical positioning system with...
Nonlinearity in many systems is heavily dependent on component variation and environmental factors s...
International audienceTransmissibility is a well-known linear system concept that has been widely ap...
Although they are generally modelled as linear systems, aircraft structures are known to be prone to...
This work presents a class of time-frequency methods for detecting and characterizing nonlinearity i...
System identification in robotics often involves the estimation of linear models characterizing the b...
Nonlinear Output Frequency Response Functions (NOFRF's) are a new concept recently developed for the...
When deriving an experimental model from Frequency Response Functions (FRFs), it may happen that the...
In many engineering applications, the level of nonlinear distortions in frequency response function ...
The use of controlled excitation is fundamental to the estimation of multiple input, multiple output...
The study of nonlinear systems has received great attention in recent years because of the necessity...