A general memristor model and its applications in programmable analog circuits Academic Article

abstract

• 2017 Elsevier B.V. This paper focuses on presenting a new memristor model with a general window function. Three adjustable parameters are introduced such that it is more flexible. It is seen that several well-known window functions are the special cases of the general window function. Some issues (e.g., the boundary lock and limited scalability) encountered in previously reported memristor models are thus efficiently resolved. Furthermore, fine-resolution programmable resistance is achieved by controlling the parameters of the general memristor model. The programmable analog filter and gain amplifier are finally implemented to illustrate the applications of the developed memristor model.

authors

• Huang, Tingwen

published proceedings

• NEUROCOMPUTING

author list (cited authors)

• Zha, J., Huang, H. e., Huang, T., Cao, J., Alsaedi, A., & Alsaadi, F. E.

citation count

• 30

complete list of authors

• Zha, Jinxiang||Huang, He||Huang, Tingwen||Cao, Jinde||Alsaedi, Ahmed||Alsaadi, Fuad E

publication date

• December 2017

publisher

• Elsevier  Publisher

published in

• Neurocomputing  Journal

keywords

• Adjustable Parameters
• Fine-resolution
• General Window Function
• Memristor
• Programmable Analog Circuits

Digital Object Identifier (DOI)

• 10.1016/j.neucom.2017.04.057

start page

• 134

end page

• 140

volume

• 267

URL

• http://dx.doi.org/10.1016/j.neucom.2017.04.057