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Article: Global point dissipativity of neural networks with mixed time-varying delays
Title | Global point dissipativity of neural networks with mixed time-varying delays |
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Authors | |
Keywords | Physics |
Issue Date | 2006 |
Publisher | American Institute of Physics. The Journal's web site is located at http://chaos.aip.org/chaos/staff.jsp |
Citation | Chaos, 2006, v. 16 n. 1, article no. 013105 How to Cite? |
Abstract | By employing the Lyapunov method and some inequality techniques, the global point dissipativity is studied for neural networks with both discrete time-varying delays and distributed time-varying delays. Simple sufficient conditions are given for checking the global point dissipativity of neural networks with mixed time-varying delays. The proposed linear matrix inequality approach is computationally efficient as it can be solved numerically using standard commercial software. Illustrated examples are given to show the usefulness of the results in comparison with some existing results. © 2006 American Institute of Physics. |
Persistent Identifier | http://hdl.handle.net/10722/44941 |
ISSN | 2023 Impact Factor: 2.7 2023 SCImago Journal Rankings: 0.778 |
ISI Accession Number ID | |
References |
DC Field | Value | Language |
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dc.contributor.author | Cao, J | en_HK |
dc.contributor.author | Yuan, K | en_HK |
dc.contributor.author | Ho, DWC | en_HK |
dc.contributor.author | Lam, J | en_HK |
dc.date.accessioned | 2007-10-30T06:13:56Z | - |
dc.date.available | 2007-10-30T06:13:56Z | - |
dc.date.issued | 2006 | en_HK |
dc.identifier.citation | Chaos, 2006, v. 16 n. 1, article no. 013105 | - |
dc.identifier.issn | 1054-1500 | en_HK |
dc.identifier.uri | http://hdl.handle.net/10722/44941 | - |
dc.description.abstract | By employing the Lyapunov method and some inequality techniques, the global point dissipativity is studied for neural networks with both discrete time-varying delays and distributed time-varying delays. Simple sufficient conditions are given for checking the global point dissipativity of neural networks with mixed time-varying delays. The proposed linear matrix inequality approach is computationally efficient as it can be solved numerically using standard commercial software. Illustrated examples are given to show the usefulness of the results in comparison with some existing results. © 2006 American Institute of Physics. | en_HK |
dc.format.extent | 191250 bytes | - |
dc.format.extent | 10566 bytes | - |
dc.format.mimetype | application/pdf | - |
dc.format.mimetype | text/plain | - |
dc.language | eng | en_HK |
dc.publisher | American Institute of Physics. The Journal's web site is located at http://chaos.aip.org/chaos/staff.jsp | en_HK |
dc.relation.ispartof | Chaos | en_HK |
dc.rights | Copyright 2006 American Institute of Physics. This article may be downloaded for personal use only. Any other use requires prior permission of the author and the American Institute of Physics. The following article appeared in Chaos, 2006, v. 16 n. 1, article no. 013105 and may be found at https://doi.org/10.1063/1.2126940 | - |
dc.subject | Physics | en_HK |
dc.title | Global point dissipativity of neural networks with mixed time-varying delays | en_HK |
dc.type | Article | en_HK |
dc.identifier.openurl | http://library.hku.hk:4550/resserv?sid=HKU:IR&issn=1054-1500&volume=16&issue=1&spage=013105:1&epage=9&date=2006&atitle=Global+point+dissipativity+of+neural+networks+with+mixed+time-varying+delays | en_HK |
dc.identifier.email | Lam, J:james.lam@hku.hk | en_HK |
dc.identifier.authority | Lam, J=rp00133 | en_HK |
dc.description.nature | published_or_final_version | en_HK |
dc.identifier.doi | 10.1063/1.2126940 | en_HK |
dc.identifier.scopus | eid_2-s2.0-33745124399 | en_HK |
dc.identifier.hkuros | 120236 | - |
dc.relation.references | http://www.scopus.com/mlt/select.url?eid=2-s2.0-33745124399&selection=ref&src=s&origin=recordpage | en_HK |
dc.identifier.volume | 16 | en_HK |
dc.identifier.issue | 1 | en_HK |
dc.identifier.spage | article no. 013105 | - |
dc.identifier.epage | article no. 013105 | - |
dc.identifier.isi | WOS:000236464500005 | - |
dc.publisher.place | United States | en_HK |
dc.identifier.scopusauthorid | Cao, J=7403354075 | en_HK |
dc.identifier.scopusauthorid | Yuan, K=8857236000 | en_HK |
dc.identifier.scopusauthorid | Ho, DWC=7402971938 | en_HK |
dc.identifier.scopusauthorid | Lam, J=7201973414 | en_HK |
dc.identifier.issnl | 1054-1500 | - |