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Reseach Article

Theory of Memristive Controllers: Design and Stability Analysis for Linear Plants

by Gourav Saha
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 34 - Number 10
Year of Publication: 2011
Authors: Gourav Saha
10.5120/4138-5986

Gourav Saha . Theory of Memristive Controllers: Design and Stability Analysis for Linear Plants. International Journal of Computer Applications. 34, 10 ( November 2011), 48-55. DOI=10.5120/4138-5986

@article{ 10.5120/4138-5986,
author = { Gourav Saha },
title = { Theory of Memristive Controllers: Design and Stability Analysis for Linear Plants },
journal = { International Journal of Computer Applications },
issue_date = { November 2011 },
volume = { 34 },
number = { 10 },
month = { November },
year = { 2011 },
issn = { 0975-8887 },
pages = { 48-55 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume34/number10/4139-5986/ },
doi = { 10.5120/4138-5986 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:20:44.196409+05:30
%A Gourav Saha
%T Theory of Memristive Controllers: Design and Stability Analysis for Linear Plants
%J International Journal of Computer Applications
%@ 0975-8887
%V 34
%N 10
%P 48-55
%D 2011
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Memristive System is a class on non-linear systems with very interesting properties. It is considered to be the fourth basic circuit element like Resistors, Capacitors and Inductors. Till date most of the works on memristive systems concentrated on its applications in the field of designing super dense non volatile memory, crossbar latches, neural networks, modeling of neural synapses, nonlinear oscillators and filters. Much less work has been done in its use in the field of control theory. This paper presents groundwork in the field of using Memristive Systems for control purposes.

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Index Terms

Computer Science
Information Sciences

Keywords

Memsristor Non Linear Control Describing Function Local Stability Region of Attraction