An experimental study on SC-CNN based canonical Chua’s circuit

In this paper, a State Controlled Cellular Neural Network (SC-CNN) based autonomous canonical Chua’s circuit is presented. The proposed system is modeled by using suitable connection of three simple state controlled generalized CNN cells. The stability of the circuit is studied by determining the ei...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Nonlinear dynamics 2013-02, Vol.71 (3), p.505-514
Hauptverfasser: Swathy, P. S., Thamilmaran, K.
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 514
container_issue 3
container_start_page 505
container_title Nonlinear dynamics
container_volume 71
creator Swathy, P. S.
Thamilmaran, K.
description In this paper, a State Controlled Cellular Neural Network (SC-CNN) based autonomous canonical Chua’s circuit is presented. The proposed system is modeled by using suitable connection of three simple state controlled generalized CNN cells. The stability of the circuit is studied by determining the eigenvalues of the stability matrices, while the dynamics as well as onset of chaos have been studied through real time experiments and numerical analysis of the generalized SC-CNN equations. The experimental results such as phase portraits and power spectra are in good agreement with those of numerical computations.
doi_str_mv 10.1007/s11071-012-0677-7
format Article
fullrecord <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_journals_2259448702</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2259448702</sourcerecordid><originalsourceid>FETCH-LOGICAL-c316t-3b3fb6e3bf418d2c7f9a3262ae9031d4b49ae369c75edb9a55560603a1d941a93</originalsourceid><addsrcrecordid>eNp1kMtKAzEUhoMoWKsP4C7gOnpymaTZWQZvUHShQnchk8nolJqpyQzYna_h6_kkpozgytVZnP_7D-dD6JTCOQVQF4lSUJQAZQSkUkTtoQktFCdM6uU-moBmgoCG5SE6SmkFAJzBbIIu5wH7j42P7ZsPvV3j1A_1FncBP5akvL_HlU2-xs6GLrQu78vXwX5_fiXs2uiGtj9GB41dJ3_yO6fo-frqqbwli4ebu3K-II5T2RNe8aaSnleNoLOaOdVoy5lk1mvgtBaV0NZzqZ0qfF1pWxSFBAnc0loLajWforOxdxO798Gn3qy6IYZ80jBWaCFmClhO0THlYpdS9I3Z5M9s3BoKZifKjKJMFmV2oozKDBuZlLPhxce_5v-hH933ano</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2259448702</pqid></control><display><type>article</type><title>An experimental study on SC-CNN based canonical Chua’s circuit</title><source>SpringerNature Journals</source><creator>Swathy, P. S. ; Thamilmaran, K.</creator><creatorcontrib>Swathy, P. S. ; Thamilmaran, K.</creatorcontrib><description>In this paper, a State Controlled Cellular Neural Network (SC-CNN) based autonomous canonical Chua’s circuit is presented. The proposed system is modeled by using suitable connection of three simple state controlled generalized CNN cells. The stability of the circuit is studied by determining the eigenvalues of the stability matrices, while the dynamics as well as onset of chaos have been studied through real time experiments and numerical analysis of the generalized SC-CNN equations. The experimental results such as phase portraits and power spectra are in good agreement with those of numerical computations.</description><identifier>ISSN: 0924-090X</identifier><identifier>EISSN: 1573-269X</identifier><identifier>DOI: 10.1007/s11071-012-0677-7</identifier><language>eng</language><publisher>Dordrecht: Springer Netherlands</publisher><subject>Automotive Engineering ; Cellular communication ; Circuits ; Classical Mechanics ; Control ; Control stability ; Dynamic stability ; Dynamical Systems ; Eigenvalues ; Engineering ; Mechanical Engineering ; Neural networks ; Numerical analysis ; Original Paper ; Power spectra ; Vibration</subject><ispartof>Nonlinear dynamics, 2013-02, Vol.71 (3), p.505-514</ispartof><rights>Springer Science+Business Media Dordrecht 2012</rights><rights>Nonlinear Dynamics is a copyright of Springer, (2012). All Rights Reserved.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c316t-3b3fb6e3bf418d2c7f9a3262ae9031d4b49ae369c75edb9a55560603a1d941a93</citedby><cites>FETCH-LOGICAL-c316t-3b3fb6e3bf418d2c7f9a3262ae9031d4b49ae369c75edb9a55560603a1d941a93</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s11071-012-0677-7$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s11071-012-0677-7$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,780,784,27924,27925,41488,42557,51319</link.rule.ids></links><search><creatorcontrib>Swathy, P. S.</creatorcontrib><creatorcontrib>Thamilmaran, K.</creatorcontrib><title>An experimental study on SC-CNN based canonical Chua’s circuit</title><title>Nonlinear dynamics</title><addtitle>Nonlinear Dyn</addtitle><description>In this paper, a State Controlled Cellular Neural Network (SC-CNN) based autonomous canonical Chua’s circuit is presented. The proposed system is modeled by using suitable connection of three simple state controlled generalized CNN cells. The stability of the circuit is studied by determining the eigenvalues of the stability matrices, while the dynamics as well as onset of chaos have been studied through real time experiments and numerical analysis of the generalized SC-CNN equations. The experimental results such as phase portraits and power spectra are in good agreement with those of numerical computations.</description><subject>Automotive Engineering</subject><subject>Cellular communication</subject><subject>Circuits</subject><subject>Classical Mechanics</subject><subject>Control</subject><subject>Control stability</subject><subject>Dynamic stability</subject><subject>Dynamical Systems</subject><subject>Eigenvalues</subject><subject>Engineering</subject><subject>Mechanical Engineering</subject><subject>Neural networks</subject><subject>Numerical analysis</subject><subject>Original Paper</subject><subject>Power spectra</subject><subject>Vibration</subject><issn>0924-090X</issn><issn>1573-269X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2013</creationdate><recordtype>article</recordtype><sourceid>AFKRA</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><recordid>eNp1kMtKAzEUhoMoWKsP4C7gOnpymaTZWQZvUHShQnchk8nolJqpyQzYna_h6_kkpozgytVZnP_7D-dD6JTCOQVQF4lSUJQAZQSkUkTtoQktFCdM6uU-moBmgoCG5SE6SmkFAJzBbIIu5wH7j42P7ZsPvV3j1A_1FncBP5akvL_HlU2-xs6GLrQu78vXwX5_fiXs2uiGtj9GB41dJ3_yO6fo-frqqbwli4ebu3K-II5T2RNe8aaSnleNoLOaOdVoy5lk1mvgtBaV0NZzqZ0qfF1pWxSFBAnc0loLajWforOxdxO798Gn3qy6IYZ80jBWaCFmClhO0THlYpdS9I3Z5M9s3BoKZifKjKJMFmV2oozKDBuZlLPhxce_5v-hH933ano</recordid><startdate>20130201</startdate><enddate>20130201</enddate><creator>Swathy, P. S.</creator><creator>Thamilmaran, K.</creator><general>Springer Netherlands</general><general>Springer Nature B.V</general><scope>AAYXX</scope><scope>CITATION</scope><scope>8FE</scope><scope>8FG</scope><scope>ABJCF</scope><scope>AFKRA</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>HCIFZ</scope><scope>L6V</scope><scope>M7S</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PTHSS</scope></search><sort><creationdate>20130201</creationdate><title>An experimental study on SC-CNN based canonical Chua’s circuit</title><author>Swathy, P. S. ; Thamilmaran, K.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c316t-3b3fb6e3bf418d2c7f9a3262ae9031d4b49ae369c75edb9a55560603a1d941a93</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2013</creationdate><topic>Automotive Engineering</topic><topic>Cellular communication</topic><topic>Circuits</topic><topic>Classical Mechanics</topic><topic>Control</topic><topic>Control stability</topic><topic>Dynamic stability</topic><topic>Dynamical Systems</topic><topic>Eigenvalues</topic><topic>Engineering</topic><topic>Mechanical Engineering</topic><topic>Neural networks</topic><topic>Numerical analysis</topic><topic>Original Paper</topic><topic>Power spectra</topic><topic>Vibration</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Swathy, P. S.</creatorcontrib><creatorcontrib>Thamilmaran, K.</creatorcontrib><collection>CrossRef</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>Materials Science &amp; Engineering Collection</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Engineering Collection</collection><collection>Engineering Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>Engineering Collection</collection><jtitle>Nonlinear dynamics</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Swathy, P. S.</au><au>Thamilmaran, K.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>An experimental study on SC-CNN based canonical Chua’s circuit</atitle><jtitle>Nonlinear dynamics</jtitle><stitle>Nonlinear Dyn</stitle><date>2013-02-01</date><risdate>2013</risdate><volume>71</volume><issue>3</issue><spage>505</spage><epage>514</epage><pages>505-514</pages><issn>0924-090X</issn><eissn>1573-269X</eissn><abstract>In this paper, a State Controlled Cellular Neural Network (SC-CNN) based autonomous canonical Chua’s circuit is presented. The proposed system is modeled by using suitable connection of three simple state controlled generalized CNN cells. The stability of the circuit is studied by determining the eigenvalues of the stability matrices, while the dynamics as well as onset of chaos have been studied through real time experiments and numerical analysis of the generalized SC-CNN equations. The experimental results such as phase portraits and power spectra are in good agreement with those of numerical computations.</abstract><cop>Dordrecht</cop><pub>Springer Netherlands</pub><doi>10.1007/s11071-012-0677-7</doi><tpages>10</tpages></addata></record>
fulltext fulltext
identifier ISSN: 0924-090X
ispartof Nonlinear dynamics, 2013-02, Vol.71 (3), p.505-514
issn 0924-090X
1573-269X
language eng
recordid cdi_proquest_journals_2259448702
source SpringerNature Journals
subjects Automotive Engineering
Cellular communication
Circuits
Classical Mechanics
Control
Control stability
Dynamic stability
Dynamical Systems
Eigenvalues
Engineering
Mechanical Engineering
Neural networks
Numerical analysis
Original Paper
Power spectra
Vibration
title An experimental study on SC-CNN based canonical Chua’s circuit
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-23T04%3A33%3A06IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=An%20experimental%20study%20on%20SC-CNN%20based%20canonical%20Chua%E2%80%99s%20circuit&rft.jtitle=Nonlinear%20dynamics&rft.au=Swathy,%20P.%20S.&rft.date=2013-02-01&rft.volume=71&rft.issue=3&rft.spage=505&rft.epage=514&rft.pages=505-514&rft.issn=0924-090X&rft.eissn=1573-269X&rft_id=info:doi/10.1007/s11071-012-0677-7&rft_dat=%3Cproquest_cross%3E2259448702%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2259448702&rft_id=info:pmid/&rfr_iscdi=true