頁籤選單縮合
| 題 名 | A Delay-Dependent Approach to Robust Stability for Uncertain Stochastic Neural Networks with Time-Varying Delay |
|---|---|
| 作 者 | Lu, Chien-yu; Liao, Chin-wen; Chang, Koan-yuh; Chang, Wen-jer; | 書刊名 | Journal of Marine Science and Technology |
| 卷 期 | 18:1 2010.02[民99.02] |
| 頁 次 | 頁77-83 |
| 分類號 | 448.942 |
| 關鍵詞 | Time-varying delay; Linear matrix inequality; Neural networks; Uncertainty; Robust stability; |
| 語 文 | 英文(English) |
| 英文摘要 | ABSTRACT This paper investigates the global delay-dependent robust stability in the mean square for uncertain stochastic neural networks with time-varying delay. The activation functions are assumed to be globally Lipschitz continuous. Based on a linear matrix inequality approach, globally delay-dependent robust stability criterion is derived by introducing some relaxation matrices which, when chosen properly, lead to a less conservative result. Two numerical examples are given to illustrate the effectiveness of the method. |
本系統中英文摘要資訊取自各篇刊載內容。