The global exponential dissipativity of a class of neural networks with finite distributed delays is investigated by constructing radically unbounded and positive definite Lyapunov function.
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。
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