Publication detail

Behavioral Model for Simplified Identification of Memristor Parameters

KOLKA, Z. BIOLKOVÁ, V. BIOLEK, D. VÁVRA, J.

Original Title

Behavioral Model for Simplified Identification of Memristor Parameters

English Title

Behavioral Model for Simplified Identification of Memristor Parameters

Type

conference paper

Language

en

Original 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.

English 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

memristive system; memristor; resistive switching; modeling; SPICE

RIV year

2015

Released

12.07.2015

Publisher

International Neural Network Society

Location

Killarney, Ireland

ISBN

978-1-4799-1960-4

Book

Proceedings of 2015 International Joint Conference on Neural Networks (IJCNN 2015)

Pages from

1

Pages to

4

Pages count

4

BibTex


@inproceedings{BUT118156,
  author="Zdeněk {Kolka} and Viera {Biolková} and Dalibor {Biolek} and Jiří {Vávra}",
  title="Behavioral Model for Simplified Identification of Memristor Parameters",
  annote="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.",
  address="International Neural Network Society",
  booktitle="Proceedings of 2015 International Joint Conference on Neural Networks (IJCNN 2015)",
  chapter="118156",
  doi="10.1109/IJCNN.2015.7280508",
  howpublished="electronic, physical medium",
  institution="International Neural Network Society",
  year="2015",
  month="july",
  pages="1--4",
  publisher="International Neural Network Society",
  type="conference paper"
}