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| Stability analysis of BAM neural networks with time-varying delays | |
| 引用本文： | ZHANG Huaguang,WANG Zhanshan. Stability analysis of BAM neural networks with time-varying delays[J]. 自然科学进展, 2007, 17(2): 206-211 |
| 作者姓名： | ZHANG Huaguang WANG Zhanshan |
| 作者单位： | 1. School of Information Science and Engineering, Northeastern University, Shenyang 110004, China; 2. Department of Information Engineering, Shenyang Ligong University, Shenyang 110168, China |
| 基金项目： | Supported by National Natural Science Foundation of China (Grant Nos. 60534010, 60572070, 60521003)，the Program for Changjiang Scholars and Innovative Research Team in University |
| 摘 要： | Some new criteria for the global asymptotic stability of the equilibrium point for the bi-directional associative memory neural networks with time varying delays are presented. The obtained results present the structure of linear matrix inequality which can be solved efficiently. The comparison with some previously reported results in the literature demonstrates that the results in this paper provide one more set of criteria for determining the stability of the bi-directional associative memory neural networks with delays. |
| 关 键 词： | bi-directional associative memory (BAM) neural networks time varying delays global asymptotic stability linear matrix inequality (LMI). |
Stability analysis of BAM neural networks with time-varying delays |
|
| ZHANG Huaguang,WANG Zhanshan. Stability analysis of BAM neural networks with time-varying delays[J]. , 2007, 17(2): 206-211 | |
| Authors: | ZHANG Huaguang WANG Zhanshan |
| Affiliation: | 1. School of Information Science and Engineering, Northeastern University, Shenyang 110004, China; 2. Department of Information Engineering, Shenyang Ligong University, Shenyang 110168, China |
| Abstract: | Some new criteria for the global asymptotic stability of the equilibrium point for the bi-directional associative memory neural networks with time varying delays are presented. The obtained results present the structure of linear matrix inequality which can be solved efficiently. The comparison with some previously reported results in the literature demonstrates that the results in this paper provide one more set of criteria for determining the stability of the bi-directional associative memory neural networks with delays. |
| Keywords: | bi-directional associative memory (BAM) neural networks time varying delays global asymptotic stability linear matrix inequality (LMI). |
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