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| 題 名 | Global Exponential Stability for Uncertain Bidirectional Associative Memory Neural Networks with Multiple Time-varying Delays via LMI Approach |
|---|---|
| 作 者 | 高瑞賢; | 書刊名 | 雄工學報 |
| 卷 期 | 9 2009.06[民98.06] |
| 頁 次 | 頁99-120 |
| 分類號 | 448.5 |
| 關鍵詞 | Delayed bidirectional associative memory neural networks; Linear matrix inequality; Global exponential stability; Lyapunov approach; |
| 語 文 | 英文(English) |
| 英文摘要 | The global exponential stability for uncertain delayed bidirectional associative memory neural networks (DBAMNN) with multiple time-varying delays is considered in this paper. Delay-dependent criteria are proposed to guarantee the robust stability of DBAMNN via linear matrix inequality (LMI) approach. Two classes of system uncertainties are investigated in this paper. Some numerical examples are given to illustrate the effectiveness of our results. From the numerical simulations, significant improvement over the recent results can be observed. |
本系統中英文摘要資訊取自各篇刊載內容。