Please use this identifier to cite or link to this item: http://hdl.handle.net/20.500.12188/23265
DC FieldValueLanguage
dc.contributor.authorMirchev, Miroslaven_US
dc.contributor.authorMishkovski, Igoren_US
dc.contributor.authorKocarev, Ljupcoen_US
dc.date.accessioned2022-10-03T08:14:57Z-
dc.date.available2022-10-03T08:14:57Z-
dc.date.issued2014-
dc.identifier.urihttp://hdl.handle.net/20.500.12188/23265-
dc.description.abstractAlthough envisioned in 1971 by L. Chua, memristors have attracted the attention of the research community recently by the promotion of their feasibility and a vast number of possible applications in non-volatile computer memory, pattern recognition and modelling neural networks. Synchronization is widely studied as a phenomenon in neural networks. This work provides synchronization analyses of two kinds of memristive networks of oscillators. First, we numerically examine networks of Chua’s circuits coupled by memristors that adapt according to the local state disagreements. As second, we employ the Master stability function (MSF) approach to study synchronization in networks of memristive Chua’s circuits coupled through simple resistors.en_US
dc.subjectmemristors, nonlinear oscillators, synchronization, stability, Chua’s circuiten_US
dc.titleMEMRISTIVE NETWORKS OF CHUA’S CIRCUITSen_US
dc.typeProceedingsen_US
dc.relation.conferenceICCSA 2014en_US
item.grantfulltextopen-
item.fulltextWith Fulltext-
crisitem.author.deptFaculty of Computer Science and Engineering-
crisitem.author.deptFaculty of Computer Science and Engineering-
Appears in Collections:Faculty of Computer Science and Engineering: Conference papers
Files in This Item:
File Description SizeFormat 
NEW_iccsa2014-MemristiveNetworks.pdf204.46 kBAdobe PDFView/Open
Show simple item record

Page view(s)

30
checked on Jul 17, 2024

Download(s)

10
checked on Jul 17, 2024

Google ScholarTM

Check


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.