Novel exponential stability criteria of high-order neural networks with time-varying delays
The global exponential stability is analyzed for a class of high-order Hopfield-type neural networks with time-varying delays. Based on the Lyapunov stability theory, together with the linear matrix inequality approach and free-weighting matrix method, some less conservative delay-independent and de...
Ausführliche Beschreibung
Bibliographische Detailangaben
| Veröffentlicht in: | IEEE transactions on systems, man, and cybernetics. Part B, Cybernetics : a publication of the IEEE Systems, Man, and Cybernetics Society. - 1996. - 41(2011), 2 vom: 01. Apr., Seite 486-96
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| 1. Verfasser: |
Zheng, Cheng-De
(VerfasserIn) |
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| Weitere Verfasser: |
Zhang, Huaguang,
Wang, Zhanshan |
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| Format: | Online-Aufsatz
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| Sprache: | English |
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| Veröffentlicht: |
2011
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| Zugriff auf das übergeordnete Werk: | IEEE transactions on systems, man, and cybernetics. Part B, Cybernetics : a publication of the IEEE Systems, Man, and Cybernetics Society
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| Schlagworte: | Journal Article
Research Support, Non-U.S. Gov't |
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