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www.adv-radio-sci.net/6/139/2008/
doi:10.5194/ars-6-139-2008
© Author(s) 2008. This work is distributed
under the Creative Commons Attribution 3.0 License.
Macro-modelling via radial basis functionen nets
1University of Paderborn, Department of Electrical Engineering, Sensor Technology Group, Germany
2Fraunhofer Institute for Reliability and Microintegration (IZM) Advanced System Engineering (ASE), Paderborn, Germany
3Leibniz University of Hannover Institute of Electromagnetic Theory (TET), Hannover, Germany
Abstract. By the rising complexity and miniaturisation of the device's dimensions, the density of the conductors increases considerably. Referring to this, locally transient interactions between single physical values become apparent. Therefore, for the investigation and optimisation of integrated circuits it is essential to develop suitable models and simulation surroundings which allow for memory and time-efficient calculation of the behaviour. By means of the dynamic reconstruction theory and the radial basis functions nets the so-called black box models are provided. The description of black box models is derived from the input and output behaviour or so-called time series of a dynamic system. Concerning the time series, the black box model adapts its parameters via the extended Kalman filter. This paper provides a modelling approach that enables fast and efficient simulations.
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Citation: Wiegand, C., Fischer, C., Kazemzadeh, R., Hedayat, C., John, W., and Hilleringmann, U.: Macro-modelling via radial basis functionen nets, Adv. Radio Sci., 6, 139-143, doi:10.5194/ars-6-139-2008, 2008. Bibtex EndNote Reference Manager XML
