On synchronization of memristive neural networks with cooperative and competitive interactions

Ning Li; Wei Xing Zheng

doi:10.1109/ISCAS45731.2020.9180448

On synchronization of memristive neural networks with cooperative and competitive interactions

Research output: Chapter in Book / Conference Paper › Conference Paper › peer-review

Abstract

In this paper, the synchronization issue of memristive neural networks with cooperative and competitive interactions is examined. With a signed graph used to describe coopetition networks, variable substitution is appropriately introduced to convert the equations describing the inertia memristive neural networks (IMNNs) into the first-order differential equations. Then a discontinuous controller is adequately constructed to derive the bipartite synchronization criterion for coupled IMNNs over coopetition networks. Lastly, the validity of the proposed bipartite synchronization criterion is demonstrated by a numerical example.

Original language	English
Title of host publication	Proceedings of the 2020 IEEE International Symposium on Circuits and Systems (ISCAS), Virtual Conference, October 10-21, 2020
Publisher	IEEE
Number of pages	5
ISBN (Print)	9781728133201
DOIs	https://doi.org/10.1109/ISCAS45731.2020.9180448
Publication status	Published - 2020
Event	IEEE International Symposium on Circuits and Systems - Duration: 10 Oct 2020 → …

Publication series

Name
ISSN (Print)	2158-1525

Conference

Conference	IEEE International Symposium on Circuits and Systems
Period	10/10/20 → …

Bibliographical note

Publisher Copyright:
© 2020 IEEE

Keywords

synchronization
neural networks (computer science)

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10.1109/ISCAS45731.2020.9180448

Cite this

@inproceedings{31f8c60e725942c69ce6d6f08575346b,

title = "On synchronization of memristive neural networks with cooperative and competitive interactions",

abstract = "In this paper, the synchronization issue of memristive neural networks with cooperative and competitive interactions is examined. With a signed graph used to describe coopetition networks, variable substitution is appropriately introduced to convert the equations describing the inertia memristive neural networks (IMNNs) into the first-order differential equations. Then a discontinuous controller is adequately constructed to derive the bipartite synchronization criterion for coupled IMNNs over coopetition networks. Lastly, the validity of the proposed bipartite synchronization criterion is demonstrated by a numerical example.",

keywords = "synchronization, neural networks (computer science)",

author = "Ning Li and Zheng, {Wei Xing}",

note = "Publisher Copyright: {\textcopyright} 2020 IEEE; IEEE International Symposium on Circuits and Systems ; Conference date: 10-10-2020",

year = "2020",

doi = "10.1109/ISCAS45731.2020.9180448",

language = "English",

isbn = "9781728133201",

publisher = "IEEE",

booktitle = "Proceedings of the 2020 IEEE International Symposium on Circuits and Systems (ISCAS), Virtual Conference, October 10-21, 2020",

}

Li, N & Zheng, WX 2020, On synchronization of memristive neural networks with cooperative and competitive interactions. in Proceedings of the 2020 IEEE International Symposium on Circuits and Systems (ISCAS), Virtual Conference, October 10-21, 2020., 9180448, IEEE, IEEE International Symposium on Circuits and Systems, 10/10/20. https://doi.org/10.1109/ISCAS45731.2020.9180448

TY - GEN

T1 - On synchronization of memristive neural networks with cooperative and competitive interactions

AU - Li, Ning

AU - Zheng, Wei Xing

PY - 2020

Y1 - 2020

N2 - In this paper, the synchronization issue of memristive neural networks with cooperative and competitive interactions is examined. With a signed graph used to describe coopetition networks, variable substitution is appropriately introduced to convert the equations describing the inertia memristive neural networks (IMNNs) into the first-order differential equations. Then a discontinuous controller is adequately constructed to derive the bipartite synchronization criterion for coupled IMNNs over coopetition networks. Lastly, the validity of the proposed bipartite synchronization criterion is demonstrated by a numerical example.

AB - In this paper, the synchronization issue of memristive neural networks with cooperative and competitive interactions is examined. With a signed graph used to describe coopetition networks, variable substitution is appropriately introduced to convert the equations describing the inertia memristive neural networks (IMNNs) into the first-order differential equations. Then a discontinuous controller is adequately constructed to derive the bipartite synchronization criterion for coupled IMNNs over coopetition networks. Lastly, the validity of the proposed bipartite synchronization criterion is demonstrated by a numerical example.

KW - synchronization

KW - neural networks (computer science)

UR - http://hdl.handle.net/1959.7/uws:57536

U2 - 10.1109/ISCAS45731.2020.9180448

DO - 10.1109/ISCAS45731.2020.9180448

M3 - Conference Paper

SN - 9781728133201

BT - Proceedings of the 2020 IEEE International Symposium on Circuits and Systems (ISCAS), Virtual Conference, October 10-21, 2020

PB - IEEE

T2 - IEEE International Symposium on Circuits and Systems

Y2 - 10 October 2020

ER -

On synchronization of memristive neural networks with cooperative and competitive interactions

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