Robust stability for uncertain delayed fuzzy Hopfield neural networks with Markovian jumping parameters
This paper is concerned with the problem of the robust stability of nonlinear delayed Hopfield neural networks (HNNs) with Markovian jumping parameters by Takagi-Sugeno (T-S) fuzzy model. The nonlinear delayed HNNs are first established as a modified T-S fuzzy model in which the consequent parts are...
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. - 39(2009), 1 vom: 30. Feb., Seite 94-102
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| 1. Verfasser: |
Li, Hongyi
(VerfasserIn) |
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| Weitere Verfasser: |
Chen, Bing,
Zhou, Qi,
Qian, Weiyi |
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| Format: | Online-Aufsatz
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| Sprache: | English |
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| Veröffentlicht: |
2009
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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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