LMI-based global exponential stability of equilibrium point for neutral delayed BAM neural networks with delays in leakage terms via new inequality technique

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• 作者：Wenli Peng^a ; ^{wenlipeng@hnu.edu.cn" class="auth_mail" title="E-mail the corresponding author}Author Vitae ; Qixin Wu^b ; ^{wuqixin@hnu.edu.cn" class="auth_mail" title="E-mail the corresponding author}Author Vitae ; Zhengqiu Zhang^a ; ^{zhangzhengqiu@hnu.edu.cn" class="auth_mail" title="E-mail the corresponding author}Author Vitae
• 关键词：The existence of equilibrium point ; Neutral delayed BAM neural networks ; Delays in leakage terms ; Global exponential stability ; New inequalities
• 刊名：Neurocomputing
• 出版年：2016
• 出版时间：26 July 2016
• 年：2016
• 卷：199
• 期：Complete
• 页码：103-113
• 全文大小：596 K

文摘

The paper is concerned with a class of neutral BAM neural networks with delays in leakage terms. The existence of equilibrium point dependent on time delays of system (1.1) is obtained by establishing and applying two new inequalities. Sufficient condition is established to ensure the global exponential stability of the above neutral networks by establishing and employing above two new inequalities and new LMI methods. The results of this paper are new and complementary to the previously known results.