Global exponential stability of impulsive cellular neural networks with time-varying and distributed delay

作者：Li Kelin^*; Zhang Xinhua; Li Zuoan

来源：Chaos Solitons & Fractals, 2009, 41(3): 1427-1434.

DOI：10.1016/j.chaos.2008.06.003

In this paper, a model of impulsive cellular neural networks with time-varying and distributed delays is investigated. By establishing an integro-differential inequality with impulsive initial conditions and employing the M-matrix theory, some sufficient conditions ensuring the existence, uniqueness and global exponential stability of equilibrium point for impulsive cellular neural networks with time-varying and distributed delays are obtained. An example is given to show the effectiveness of the results obtained here.

• 出版日期2009-8-15
• 单位四川轻化工大学