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对复域时滞神经网络的唯一性和在平衡点处的渐近稳定进行了研究,并基于Lyapinov函数方法和线性矩阵不等式(LMI),复域时滞神经网络的一些渐近稳定的有效条件得到推导。最后通过一个有效的例子来验证了结论的有效性和正确性。
The uniqueness and the asymptotic stability at the equilibrium point of complex time-delay neural networks are studied. Based on the Lyapinov function method and the linear matrix inequality (LMI), some asymptotic stable effective conditions of complex time-delay neural networks Derived. Finally, an effective example to verify the validity and correctness of the conclusion.