| Global exponential stability of cellular neural networks with time-varying coefficients and delays. | |
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MedLine Citation:
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PMID: 15541944 Owner: NLM Status: MEDLINE |
Abstract/OtherAbstract:
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In this paper, a class of cellular neural networks with time-varying coefficients and delays is considered. By constructing a suitable Liapunov functional and utilizing the technique of matrix analysis, some new sufficient conditions on the global exponential stability of solutions are obtained. The results obtained in this paper improve and extend some of the previous results. |
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Authors:
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Haijun Jiang; Zhidong Teng |
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Publication Detail:
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Type: Journal Article; Research Support, Non-U.S. Gov't |
Journal Detail:
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Title: Neural networks : the official journal of the International Neural Network Society Volume: 17 ISSN: 0893-6080 ISO Abbreviation: Neural Netw Publication Date: 2004 Dec |
Date Detail:
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Created Date: 2004-11-15 Completed Date: 2005-01-24 Revised Date: 2006-11-15 |
Medline Journal Info:
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Nlm Unique ID: 8805018 Medline TA: Neural Netw Country: United States |
Other Details:
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Languages: eng Pagination: 1415-25 Citation Subset: IM |
Affiliation:
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College of Mathematics and System Sciences, Xinjiang University, Urumqi 830046, China. jianghai@xju.edu.cn |
Export Citation:
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| MeSH Terms | |
Descriptor/Qualifier:
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Neural Networks (Computer)* Neural Pathways / physiology Neurons / physiology* Reaction Time / physiology |
From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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