Novel Global Exponential Stability Criterion for Recurrent Neural Networks with Time-Varying Delay
The problem of global exponential stability for recurrent neural networks with time-varying delay is investigated. By dividing the time delay interval [0,τ(t)] into K+1 dynamical subintervals, a new Lyapunov-Krasovskii functional is introduced; then, a novel linear-matrix-inequality (LMI-) based del...
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| 主要な著者: | , , , |
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| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
Wiley
2013-01-01
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| シリーズ: | Abstract and Applied Analysis |
| オンライン･アクセス: | http://dx.doi.org/10.1155/2013/540951 |
| タグ: |
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