Impulsive Control for a Class of Cellular Neural Networks with Proportional Delay
作者:Kaizhong Guan, Qisheng Wang
摘要
This paper is concerned with a class of cellular neural networks with proportional delay and impulses. First, by employing the improved Razumikhin technique and Lyapunov functions, some delay-dependent criteria are established to guarantee asymptotic stability and global stability of a class of general impulsive differential equations with proportional delay. Second, applying the obtained criteria, we get some delay-dependent sufficient conditions ensuring the existence, uniqueness and globally asymptotic stability of the equilibrium point of the cellular neural networks with proportional delay and impulses presented in this paper. Finally, three examples are presented to illustrate the effectiveness and advantages of the results obtained.
论文关键词:Cellular neural network, Proportional delay, Impulse, Global asymptotic stability, Razumikhin technique, Lyapunov function
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论文官网地址:https://doi.org/10.1007/s11063-017-9776-2