Add to ORKGThis paper presents a characterization method based on diffusive representation for a class of linear or nonlinear time-varying diffusive systems. The system variation with time may come as a result of the own actuation over the device or as a result of an external disturbance. Experimental results for both cases are presented. This method has been tested on a prototype of the REMS thermal wind anemometer for Mars atmosphere in which the time variation is induced by wind changes in a wind tunnel. The same method is also applied to model the nonlinear charge trapping dynamics of a contactless MEMS capacitor, in which the system variation with time comes from the nonlinear dependence on the applied voltages. In both cases, the obtained state-...
We present a time-continuous identification method for nonlinear dynamic Volterra models of the form...
Abstract: Modal, decoupled models of linear systems have easily interpreted parameters: gains and po...
International audienceThis paper focuses on the identification of nonlinear dynamic models for physi...
The work underlying this Thesis, has contributed to the main study and characterization of diffusive...
The objective of this work is to show the results from the analysis of the thermal dynamics of a pr...
In this paper, some preliminary results on identification of diffusive models using input/output mea...
International audienceIn this paper, we show how the so-called diffusive representation can be used ...
International audienceThe concept of Diffusive Representation is used in this paper for modeling pur...
International audienceThis paper focuses on the identification of nonlinear dynamic models for physi...
Abstract. This paper introduces a linear state-space model with time-varying dynamics. The time depe...
Abstract. This paper introduces a linear state-space model with time-varying dynamics. The time depe...
This paper focuses on the identification of nonlinear dynamic models for physical systems such as Mi...
Abstract: This paper focuses on the identification of nonlinear dynamic models for physical systems ...
A system is conceived of as being slowly varying if it changes slowly enough to permit identificatio...
This paper focuses on the identification of nonlinear dynamic models for physical systems such as el...
We present a time-continuous identification method for nonlinear dynamic Volterra models of the form...
Abstract: Modal, decoupled models of linear systems have easily interpreted parameters: gains and po...
International audienceThis paper focuses on the identification of nonlinear dynamic models for physi...
The work underlying this Thesis, has contributed to the main study and characterization of diffusive...
The objective of this work is to show the results from the analysis of the thermal dynamics of a pr...
In this paper, some preliminary results on identification of diffusive models using input/output mea...
International audienceIn this paper, we show how the so-called diffusive representation can be used ...
International audienceThe concept of Diffusive Representation is used in this paper for modeling pur...
International audienceThis paper focuses on the identification of nonlinear dynamic models for physi...
Abstract. This paper introduces a linear state-space model with time-varying dynamics. The time depe...
Abstract. This paper introduces a linear state-space model with time-varying dynamics. The time depe...
This paper focuses on the identification of nonlinear dynamic models for physical systems such as Mi...
Abstract: This paper focuses on the identification of nonlinear dynamic models for physical systems ...
A system is conceived of as being slowly varying if it changes slowly enough to permit identificatio...
This paper focuses on the identification of nonlinear dynamic models for physical systems such as el...
We present a time-continuous identification method for nonlinear dynamic Volterra models of the form...
Abstract: Modal, decoupled models of linear systems have easily interpreted parameters: gains and po...
International audienceThis paper focuses on the identification of nonlinear dynamic models for physi...
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