Global exponential convergence analysis of delayed cellular neural networks

• 来源期刊: 中国物理（英文版）
• 学科: 物理学
• 关键词: global exponential stability delayed cellular neural networks delay differential inequality Lyapunov functionals
• 年，卷（期）: 2003,（1）
• 页码范围: 22-24
• 页数: 3页
• 分类号: O4
• 语种: 英文

摘要

Some sufficient criteria have been established to ensure the global exponential stability of delayed cellular neural networks by using an approach based on delay differential inequality. Compared with the method of Lyapunov functionals as in most previous studies, our method is simpler and more effective for a stability analysis of delayed system. Some previously established results in the literature are shown to be special cases of the present result.