An Efficient Neural Network Based Modeling Method for Automotive EMC Simulation

Frank F, Weigel R (2011)


Publication Type: Journal article

Publication year: 2011

Journal

Publisher: Schiele und Sohn

DOI: 10.1515/FREQ.2011.039

Abstract

This paper presents a newly developed methodology for VHDL-AMS model integration into SPICE-based EMC simulations. To this end the VHDL-AMS model, which is available in a compiled version only, is characterized under typical loading conditions, and afterwards a neural network based technique is applied to convert characteristic voltage and current data into an equivalent circuit in SPICE syntax. After the explanation of the whole method and the presentation of a newly developed switched state space dynamic neural network model, the entire analysis process is demonstrated using a typical application from automotive industry.

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How to cite

APA:

Frank, F., & Weigel, R. (2011). An Efficient Neural Network Based Modeling Method for Automotive EMC Simulation. Frequenz. https://doi.org/10.1515/FREQ.2011.039

MLA:

Frank, Florian, and Robert Weigel. "An Efficient Neural Network Based Modeling Method for Automotive EMC Simulation." Frequenz (2011).

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