Add to ORKGEstimation methods for the multivariable frequency response function are analyzed, both in open and closed loop. Expressions for the bias and covariance are derived and the usefulness of these expressions is illustrated in simulations of an industrial robot where the different estimators are compared. The choice of estimator depends on the signal-to- noise ratio as well as the measurement setup and a bias-variance trade-off
This paper introduces a two-step identification method of human multi-channel perception and control...
Abstract Two different approaches for the determination of frequency response functions (FRFs) are u...
Frequency response functions are often utilized to characterize a system's dynamic response. For a w...
Estimation methods for the multivariable frequency response function are analyzed, both in open and ...
A method for estimating the Multivariable Frequency Response Function using closed loop data is stud...
Nonparametric estimation methods for the multivariable frequency response function are experimentall...
The estimation of frequency response function from experimental data containing noise forms the basi...
The accuracy of industrial robots limits its applicability for high demanding processes, like roboti...
A method for estimating the Multivariable Frequency Response Function (MFRF) is evaluated with respe...
A key step in control of precision mechatronic systems is Frequency Response Function (FRF) identifi...
The main objective of the thesis is the identification of flexibilities and nonlinear-ities in mathe...
response of the frequency estimation loop and simplified its design. The estimates were unbiased and...
Abstract — It has been argued that the frequency domain accuracy of high model-order estimates obtai...
This paper considers the problem of estimation frequency response functions (FRFs) for a single-inpu...
A variance analysis of the parameters of a plant, belonging to a class of multivariable systems, est...
This paper introduces a two-step identification method of human multi-channel perception and control...
Abstract Two different approaches for the determination of frequency response functions (FRFs) are u...
Frequency response functions are often utilized to characterize a system's dynamic response. For a w...
Estimation methods for the multivariable frequency response function are analyzed, both in open and ...
A method for estimating the Multivariable Frequency Response Function using closed loop data is stud...
Nonparametric estimation methods for the multivariable frequency response function are experimentall...
The estimation of frequency response function from experimental data containing noise forms the basi...
The accuracy of industrial robots limits its applicability for high demanding processes, like roboti...
A method for estimating the Multivariable Frequency Response Function (MFRF) is evaluated with respe...
A key step in control of precision mechatronic systems is Frequency Response Function (FRF) identifi...
The main objective of the thesis is the identification of flexibilities and nonlinear-ities in mathe...
response of the frequency estimation loop and simplified its design. The estimates were unbiased and...
Abstract — It has been argued that the frequency domain accuracy of high model-order estimates obtai...
This paper considers the problem of estimation frequency response functions (FRFs) for a single-inpu...
A variance analysis of the parameters of a plant, belonging to a class of multivariable systems, est...
This paper introduces a two-step identification method of human multi-channel perception and control...
Abstract Two different approaches for the determination of frequency response functions (FRFs) are u...
Frequency response functions are often utilized to characterize a system's dynamic response. For a w...