Add to ORKGSystem identification in robotics often involves the estimation of linear models characterizing the behavior in certain operating points. In this paper, a method for the detection and estimation of nonlinear distortions in an estimated frequency response function (FRF) has successfully been applied to experimental data from an industrial robot. The results show that nonlinear distortions areindeed present and cause larger variability in the FRF than the measurement noise contributions
This paper analyses the variability of linear models that are identified in the presence of nonlinea...
Structural nonlinearity is a common phenomenon encountered in engineering structures under dynamic l...
Nonparametric estimation methods for the multivariable frequency response function are experimentall...
System identification in robotics often involves the estimation of linear models characterizing the b...
The main objective of the thesis is the identification of flexibilities and nonlinear-ities in mathe...
The accuracy of industrial robots limits its applicability for high demanding processes, like roboti...
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...
This paper considers identification of unknown parameters in elastic dynamic models of industrial ro...
This paper discusses the impact of nonlinear friction on frequency response function (FRF) measureme...
Traditional Frequency Response Function (FRF) estimation techniques used for analysis of Human Contr...
In this paper, we discuss optimized strategies to measure the frequency response function in the pre...
Nonlinearity in many systems is heavily dependent on component variation and environmental factors s...
Abstract Two different approaches for the determination of frequency response functions (FRFs) are u...
Industrial robots are today essential components in the manufacturing industry where they are used t...
This paper analyses the variability of linear models that are identified in the presence of nonlinea...
Structural nonlinearity is a common phenomenon encountered in engineering structures under dynamic l...
Nonparametric estimation methods for the multivariable frequency response function are experimentall...
System identification in robotics often involves the estimation of linear models characterizing the b...
The main objective of the thesis is the identification of flexibilities and nonlinear-ities in mathe...
The accuracy of industrial robots limits its applicability for high demanding processes, like roboti...
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...
This paper considers identification of unknown parameters in elastic dynamic models of industrial ro...
This paper discusses the impact of nonlinear friction on frequency response function (FRF) measureme...
Traditional Frequency Response Function (FRF) estimation techniques used for analysis of Human Contr...
In this paper, we discuss optimized strategies to measure the frequency response function in the pre...
Nonlinearity in many systems is heavily dependent on component variation and environmental factors s...
Abstract Two different approaches for the determination of frequency response functions (FRFs) are u...
Industrial robots are today essential components in the manufacturing industry where they are used t...
This paper analyses the variability of linear models that are identified in the presence of nonlinea...
Structural nonlinearity is a common phenomenon encountered in engineering structures under dynamic l...
Nonparametric estimation methods for the multivariable frequency response function are experimentall...