| Original Articles |
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Improved Conditions for Global Asymptotic Stability of Cohen--Grossberg Neural Networks with Time-Varying Delays |
| CHEN Jun, CUI Bao-Tong, GAO Ming |
| College of Communication and Control Engineering, Jiangnan University, Wuxi 214122 |
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| Cite this article: |
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CHEN Jun, CUI Bao-Tong, GAO Ming 2008 Chin. Phys. Lett. 25 3894-3897 |
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Abstract The global asymptotic stability of delayed Cohen--Grossberg neural networks with impulses is investigated. Based on the new suitable Lyapunov functions and the Jacobsthal inequality, a set of novel sufficient criteria are derived for the global asymptotic stability of Cohen--Grossberg neural networks with time-varying delays and impulses. An illustrative example with its numerical simulations is given to demonstrate the effectiveness of the obtained results.
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| Keywords:
07.05.Mh
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Received: 27 August 2008
Published: 25 October 2008
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| PACS: |
07.05.Mh
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(Neural networks, fuzzy logic, artificial intelligence)
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