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标题：Global Stability Conditions for Delayed CNNs
来源：《IEEE电路与系统汇刊，第一部分：基础理论与应用》2001年48卷11期1330-1333页
作者：东南大学应用数学系 Jin-De Cao（曹进德）
Research Fronts: DELAYED CELLULAR NEURAL NETWORKS DESCRIBED USING CLONING TEMPLATES; HOPFIELD NEURAL NETWORKS INVOLVING VARIABLE DELAYS; DELAYED BI-DIRECTIONAL ASSOCIATIVE MEMORY NEURAL NETWORKS; DELAYED NEURAL NETWORKS; DISCRETE-TIME CELLULAR NEURAL NETWORKS
领域：工程
摘要：Based on the Lyapunov stability theorem as well as some facts about the positive definiteness and inequality of matrices, a new sufficient condition is presented for the existence of a unique equilibrium point and its global asymptotic stability for delayed CNNs. This condition imposes constraints on the feedback matrices independent of the delay parameter. This condition is less restrictive than that given in earlier references.
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