DocumentCode :
1768556
Title :
Analytic modeling of memristor variability for robust memristor systems designs
Author :
Smaili, Sami ; Massoud, Yehia
Author_Institution :
Electr. & Comput. Eng. Dept., Worcester Polytech. Inst., Worcester, MA, USA
fYear :
2014
fDate :
1-5 June 2014
Firstpage :
794
Lastpage :
797
Abstract :
In this paper we derive conditions for bounding the state change in a memristor due to an applied signal. The main memristor functionality is a programmable resistor, but its resistance changes due to the signal passing through it. Therefore, it is necessary to guarantee that any signal through the memristor causes a small resistance change as tolerable by the application. The derived conditions relate the desired bound on the resistance change to a bound on the signal flux through the memristor. We show examples for the case of a sinusoidal signal and demonstrate the impact of the derived conditions on the design of memristor-based systems.
Keywords :
memristors; resistors; analytic modeling; memristor functionality; memristor state variability; programmable resistor; resistance change; robust memristor systems designs; sinusoidal signal; Analytical models; Field programmable gate arrays; Memristors; Nanoscale devices; Resistance; Robustness; Memristors; memristor modeling; robust design;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Circuits and Systems (ISCAS), 2014 IEEE International Symposium on
Conference_Location :
Melbourne VIC
Print_ISBN :
978-1-4799-3431-7
Type :
conf
DOI :
10.1109/ISCAS.2014.6865255
Filename :
6865255
Link To Document :
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