DocumentCode :
3661197
Title :
Behavioral model for simplified identification of memristor parameters
Author :
Zdenek Kolka;Viera Biolkova;Dalibor Biolek;Jiri Vavra
Author_Institution :
Department of Radio Electronics, Brno University of Technology, Czech Republic
fYear :
2015
fDate :
7/1/2015 12:00:00 AM
Firstpage :
1
Lastpage :
4
Abstract :
The paper deals with a simplified model of the HP TiO2 memristor, which can be used for identifying the parameters of built-in memristors, i.e. in cases where there is only a limited set of measurements possible. The memristor is excited by a rectangular voltage waveform and the built-in measuring device can measure the times when the memristor current crosses several thresholds. The proposed approach is based on deriving a behavioral model being able to reproduce nonlinear dynamics of memristor. The identified parameters may serve to assess process variations and detecting non-catastrophic failures.
Keywords :
"Analytical models","Platinum","Resistors","Europe","CMOS integrated circuits","Semiconductor device modeling"
Publisher :
ieee
Conference_Titel :
Neural Networks (IJCNN), 2015 International Joint Conference on
Electronic_ISBN :
2161-4407
Type :
conf
DOI :
10.1109/IJCNN.2015.7280508
Filename :
7280508
Link To Document :
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