Global asymptotic stability of Cohen-Grossberg neural networks with multiple discrete delays
Wan, Anhua; Mao, Weihua; Qiao, Hong; Zhang, Bo
2007
会议名称3rd International Conference on Intelligent Computing
会议录名称ADVANCED INTELLIGENT COMPUTING THEORIES AND APPLICATIONS, PROCEEDINGS: WITH ASPECTS OF ARTIFICIAL INTELLIGENCE
会议日期AUG 21-24, 2007
会议地点Qingdao, PEOPLES R CHINA
摘要The asymptotic stability is analyzed for Cohen-Grossberg neural networks with multiple discrete delays. The boundedness, differentiability or monotonicity condition is not assumed on the activation functions. The generalized Dahlquist constant approach is employed to examine the existence and uniqueness of equilibrium of the neural networks, and a novel Lyapunov functional is constructed to investigate the stability of the delayed neural networks. New general sufficient conditions are derived for the global asymptotic stability of the neural networks with multiple delays.
关键词Time-varying Delays Exponential Stability Criteria Memory
文献类型会议论文
条目标识符http://ir.ia.ac.cn/handle/173211/12822
专题复杂系统管理与控制国家重点实验室_机器人理论与应用
通讯作者Mao, Weihua
作者单位S China Agr Univ, Coll Sci, Dept Appl Math
推荐引用方式
GB/T 7714
Wan, Anhua,Mao, Weihua,Qiao, Hong,et al. Global asymptotic stability of Cohen-Grossberg neural networks with multiple discrete delays[C],2007.
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