New robust stability results for bidirectional associative memory neural networks with multiple time delays
dc.authorid | 0000-0001-6773-0428 | |
dc.authorid | 0000-0002-4390-5139 | |
dc.authorid | 0000-0003-3715-4778 | |
dc.contributor.author | Senan, Sibel | en_US |
dc.contributor.author | Arik, Sabri | en_US |
dc.contributor.author | Liu, Derong | en_US |
dc.date.accessioned | 2015-01-15T23:02:03Z | |
dc.date.available | 2015-01-15T23:02:03Z | |
dc.date.issued | 2012-08-01 | |
dc.department | Işık Üniversitesi, Mühendislik Fakültesi, Elektrik-Elektronik Mühendisliği Bölümü | en_US |
dc.department | Işık University, Faculty of Engineering, Department of Electrical-Electronics Engineering | en_US |
dc.description.abstract | In this paper, the robust stability problem is investigated for a class of bidirectional associative memory (BAM) neural networks with multiple time delays. By employing suitable Lyapunov functionals and using the upper bound norm for the interconnection matrices of the neural network system, some novel sufficient conditions ensuring the existence, uniqueness and global robust stability of the equilibrium point are derived. The obtained results impose constraint conditions on the system parameters of neural network independent of the delay parameters. Some numerical examples and simulation results are given to demonstrate the applicability and effectiveness of our results, and to compare the results with previous robust stability results derived in the literature. | en_US |
dc.description.version | Publisher's Version | en_US |
dc.identifier.citation | Senan, S., Arik, S. & Liu, D. (2012). New robust stability results for bidirectional associative memory neural networks with multiple time delays. Applied Mathematics and Computation, 218(23), 11472-11482. doi:10.1016/j.amc.2012.04.075 | en_US |
dc.identifier.doi | 10.1016/j.amc.2012.04.075 | |
dc.identifier.endpage | 11482 | |
dc.identifier.issn | 0096-3003 | |
dc.identifier.issn | 1873-5649 | |
dc.identifier.issue | 23 | |
dc.identifier.scopus | 2-s2.0-84863302380 | |
dc.identifier.scopusquality | Q1 | |
dc.identifier.startpage | 22472 | |
dc.identifier.uri | https://hdl.handle.net/11729/439 | |
dc.identifier.uri | http://dx.doi.org/10.1016/j.amc.2012.04.075 | |
dc.identifier.volume | 218 | |
dc.identifier.wos | WOS:000306106300013 | |
dc.identifier.wosquality | Q1 | |
dc.indekslendigikaynak | Web of Science | en_US |
dc.indekslendigikaynak | Scopus | en_US |
dc.indekslendigikaynak | Science Citation Index Expanded (SCI-EXPANDED) | en_US |
dc.institutionauthor | Arik, Sabri | en_US |
dc.institutionauthorid | 0000-0002-4390-5139 | |
dc.language.iso | en | en_US |
dc.peerreviewed | Yes | en_US |
dc.publicationstatus | Published | en_US |
dc.publisher | Elsevier Science Inc | en_US |
dc.relation.ispartof | Applied Mathematics and Computation | en_US |
dc.relation.publicationcategory | Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı | en_US |
dc.rights | info:eu-repo/semantics/closedAccess | en_US |
dc.subject | Equilibrium and stability analysis | en_US |
dc.subject | Bidirectional associative memory neural networks | en_US |
dc.subject | Lyapunov functionals | en_US |
dc.subject | Global asymptotic stability | en_US |
dc.subject | Reaction-Diffusion terms | en_US |
dc.subject | Varying delays | en_US |
dc.subject | Exponential stability | en_US |
dc.subject | Distributed delays | en_US |
dc.subject | Neutral-Type | en_US |
dc.subject | Criterion | en_US |
dc.subject | Discrete | en_US |
dc.subject | Passivity | en_US |
dc.title | New robust stability results for bidirectional associative memory neural networks with multiple time delays | en_US |
dc.type | Article | en_US |
dspace.entity.type | Publication |
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