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通过构造径向无界正定的Lyapunov函数,研究了一类具有有限分布延时的神经网络的全局指数耗散性,在假定延时可微的情况下,给出了几个确保网络全局耗散性的充分条件.最后通过一个数值例子说明条件的有效性.
By constructing a Lyapunov function with radial unbounded positive definiteness, the global exponential dissipation of a class of neural networks with finite distributed delay is studied. Given the differentiable delays, several schemes to ensure the global dissipation of the network In the end, a numerical example is given to show the validity of the condition.