IEEE Trans Cybern. 2021 Jun;51(6):2944-2955. doi: 10.1109/TCYB.2019.2953236. Epub 2021 May 18.
This article is devoted to analyzing the finite-time and fixed-time synchronization of coupled memristive neural networks with time delays. The synchronization is leaderless rather than leader-follower as the tracking targets are uncertain. By designing a proper controller and using the Lyapunov method, several sufficient conditions are obtained to achieve the finite-time and fixed-time synchronization of coupled memristive neural networks by introducing a class of special auxiliary matrices. Moreover, the settling times can be estimated for finite-time synchronization that depends on the initial values as well as fixed-time synchronization that is uniformly bounded for any initial values. Finally, two examples are presented to substantiate the effectiveness of the theoretical results.
这篇文章致力于分析具有时滞的耦合忆阻神经网络的有限时间和固定时间同步。由于跟踪目标是不确定的,所以同步是无领导者的,而不是领导者-跟随者的。通过设计一个合适的控制器并使用李雅普诺夫方法,引入一类特殊的辅助矩阵,得到了实现耦合忆阻神经网络的有限时间和固定时间同步的几个充分条件。此外,对于有限时间同步,可以估计其收敛时间,该时间依赖于初始值,而对于固定时间同步,对于任何初始值都是一致有界的。最后,给出了两个例子来验证理论结果的有效性。