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Article: Robust synchronization criteria for recurrent neural networks via linear feedback

TitleRobust synchronization criteria for recurrent neural networks via linear feedback
Authors
KeywordsLinear Matrix Inequality
Lyapunov-Krasovskii Function
Recurrent Neural Networks
Robust Synchronization
Issue Date2007
PublisherWorld Scientific Publishing Co Pte Ltd. The Journal's web site is located at http://www.worldscinet.com/ijbc/ijbc.shtml
Citation
International Journal Of Bifurcation And Chaos, 2007, v. 17 n. 8, p. 2723-2738 How to Cite?
Abstract
In this paper, the robust synchronization problem is addressed for recurrent neural networks with time-varying delay by linear feedback control. Robustness in the present paper is referred to as the allowance of parameters mismatch between the drive system and the response system. Sufficient conditions for robust synchronization with a synchronization error bound, expressed as linear matrix inequality (LMI), are derived based on Lyapunov-Krasovskii functionals. Both delay-dependent and delay-independent conditions are obtained. Two examples are given to illustrate the results. © World Scientific Publishing Company.
Persistent Identifierhttp://hdl.handle.net/10722/156918
ISSN
2013 Impact Factor: 1.017
2013 SCImago Journal Rankings: 0.717
ISI Accession Number ID
References

 

Author Affiliations
  1. Shandong University of Science and Technology
  2. Southeast University
  3. City University of Hong Kong
  4. Nanjing University of Science and Technology
DC FieldValueLanguage
dc.contributor.authorHuang, Xen_US
dc.contributor.authorLam, Jen_US
dc.contributor.authorCao, Jen_US
dc.contributor.authorXu, Sen_US
dc.date.accessioned2012-08-08T08:44:33Z-
dc.date.available2012-08-08T08:44:33Z-
dc.date.issued2007en_US
dc.identifier.citationInternational Journal Of Bifurcation And Chaos, 2007, v. 17 n. 8, p. 2723-2738en_US
dc.identifier.issn0218-1274en_US
dc.identifier.urihttp://hdl.handle.net/10722/156918-
dc.description.abstractIn this paper, the robust synchronization problem is addressed for recurrent neural networks with time-varying delay by linear feedback control. Robustness in the present paper is referred to as the allowance of parameters mismatch between the drive system and the response system. Sufficient conditions for robust synchronization with a synchronization error bound, expressed as linear matrix inequality (LMI), are derived based on Lyapunov-Krasovskii functionals. Both delay-dependent and delay-independent conditions are obtained. Two examples are given to illustrate the results. © World Scientific Publishing Company.en_US
dc.languageengen_US
dc.publisherWorld Scientific Publishing Co Pte Ltd. The Journal's web site is located at http://www.worldscinet.com/ijbc/ijbc.shtmlen_US
dc.relation.ispartofInternational Journal of Bifurcation and Chaosen_US
dc.subjectLinear Matrix Inequalityen_US
dc.subjectLyapunov-Krasovskii Functionen_US
dc.subjectRecurrent Neural Networksen_US
dc.subjectRobust Synchronizationen_US
dc.titleRobust synchronization criteria for recurrent neural networks via linear feedbacken_US
dc.typeArticleen_US
dc.identifier.emailLam, J:james.lam@hku.hken_US
dc.identifier.authorityLam, J=rp00133en_US
dc.description.naturelink_to_subscribed_fulltexten_US
dc.identifier.doi10.1142/S0218127407018713en_US
dc.identifier.scopuseid_2-s2.0-34748850646en_US
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-34748850646&selection=ref&src=s&origin=recordpageen_US
dc.identifier.volume17en_US
dc.identifier.issue8en_US
dc.identifier.spage2723en_US
dc.identifier.epage2738en_US
dc.identifier.isiWOS:000253285200013-
dc.publisher.placeSingaporeen_US
dc.identifier.scopusauthoridHuang, X=36016649900en_US
dc.identifier.scopusauthoridLam, J=7201973414en_US
dc.identifier.scopusauthoridCao, J=7403354075en_US
dc.identifier.scopusauthoridXu, S=7404438591en_US

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