A Voltage-Controlled Window Function Approach

Publikation: Beitrag in Buch/Konferenzbericht/Sammelband/GutachtenBeitrag in KonferenzbandBeigetragenBegutachtung

Beitragende

Abstract

In this paper we propose a simple method that modifies the mathematical structure of behavioral memristor models by inducing a voltage dependency in the window functions which are normally expressed as solely state dependent. This empirical method is based on the assumption that the resistive states of analog memristor devices saturate at well-defined resistive levels under constant bias voltage application, which is supported by corresponding experimental data extracted from a wide range of analog memristor devices. As the vast majority of the simplified models published to date are constructed to fit hysteretic current-voltage characteristics of practical devices, the proposed transformation is applied to render empirical models more suitable for memristor-based analog applications where the memristor resistance is configured multiple times.

Details

OriginalspracheEnglisch
TitelANNA '18; Advances in Neural Networks and Applications 2018
Herausgeber (Verlag)VDE Verlag, Berlin [u. a.]
Seiten1-5
Seitenumfang5
ISBN (Print)978-3-8007-4756-6
PublikationsstatusVeröffentlicht - 17 Sept. 2018
Peer-Review-StatusJa

Konferenz

TitelANNA '18; Advances in Neural Networks and Applications 2018
Dauer15 - 17 September 2018
OrtSt. Konstantin and Elena Resort, Bulgaria

Externe IDs

Scopus 85096695001