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通过引入适当的Lyapunov-Krasovskii泛函,给出一类由多时滞中立型方程所描述的神经网络的稳定性判据,该稳定性判据不仅与离散性时滞相关,而且依赖中立型时滞.由于稳定性判据基于线性矩阵不等式,因此其求解方法可以使用各种凸优化算法.使用Matlab工具箱中的线性矩阵不等式算法,给出数据仿真实例,验证了方法的有效性.
By introducing the appropriate Lyapunov-Krasovskii functional, a class of stability criteria for neural networks described by the multi-delay neutral equations is given, which is not only related to discrete time delays but also dependent on neutral delay Since the stability criterion is based on the linear matrix inequality, various convex optimization algorithms can be used to solve the problem.Examples of data are given by using the linear matrix inequality algorithm in Matlab toolbox, and the validity of the method is verified.