变系数时滞神经网络的周期解与稳定性
Stability Analysis of Periodic Solution of Variable Coefficient and Time-Delay Hopfield Neural Networks
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摘要: 针对具有实际应用价值的时滞周期时变系数的Hopfield神经网络系统,利用了Lyapunov函数法并结合不等式分析技巧,证明了系统的解是有界的,得到了系统周期解的存在准则及平凡解指数稳定的充分条件。Abstract: This paper studies periodic variable Coefficient and time-delay neural networks.According to the method of function of Lyapunov and the method of inequality analysis,the bounded solution,the existence criterion of periodic solution and the sufficient conditions of exponential stability of this system are determined.