讨论同时具有离散时滞和分布时滞的神经网络系统的鲁棒稳定性问题.不同于通常使用的矩阵范数理论,利用线性矩阵不等式(LMI),将神经网络系统的稳定性问题转化为凸优化问题,建立了神经网络系统鲁棒稳定性的一个充分条件,该条件易于利用标准的MatlabLMI工具箱进行验证和求解.
This paper is devoted to the stability analysis of generalized delayed neural network with mixed discrete and distributed delays. The stability analysis problem is converted into a convex optimization problem, and a linear matrix inequality (LMI) approach is utilized to establish the sufficient condition for the globally robust stability. This condition can be readily checked by utilizing the Matlab LMI Toolbox.