Model identification of time-varying diffusive systems
Document typeConference report
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This 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-space models are able to reproduce and predict the behavior of the devices under arbitrary excitations.
CitationAtienza, M.T., Kowalski, L., Gorreta, S., Pons, J., Jimenez, V., Dominguez, M. Model identification of time-varying diffusive systems. A: IEEE International Symposium on Circuits and Systems. "2018 IEEE International Symposium on Circuits and Systems (ISCAS): proceedings: 27-30 May 2018: Florence, Italy". 2018, p. 1-5.