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研究了一类时滞离散神经网络指数稳定及鲁棒稳定问题.结合线性矩阵不等式技术,构造了一个新的广义李亚普诺夫函数,得到了新的指数稳定条件.数值算例表明与以往文献中的结果相比,新准则具有较弱的保守性.
A class of exponential stability and robust stability problems for discrete-time neural networks with time-delay are investigated. A new generalized Lyapunov function is constructed by combining with linear matrix inequality (LMI) technique, and the new exponential stability conditions are obtained. Numerical examples show that compared with the previous literature Compared with the results of the new criterion is weaker conservative.