Department of Mathematics, Harbin Institute of Technology (Weihai), Weihai 264209, PR China.
Department of Mechanical Engineering, Harbin Institute of Technology (Weihai), Weihai 264209, PR China.
Neural Netw. 2021 Dec;144:307-319. doi: 10.1016/j.neunet.2021.08.035. Epub 2021 Sep 7.
In this paper, bipartite synchronization of signed networks with stochastic disturbances via aperiodically intermittent control is investigated. The aperiodically intermittent control presented is based on discrete-time state observations rather than continuous-time ones. To formulate signed networks and exhibit the competitive relation, a structurally balanced signed network is built and all the units are divided into two subcommunities. By employing Lyapunov method and graph theory, some sufficient conditions on bipartite synchronization are given. Meanwhile, when aperiodically intermittent control degenerates into periodically intermittent control and feedback control respectively, two corollaries are also provided to ensure the bipartite synchronization of the signed networks. Ultimately, two applications to coupled single-link robot arms and coupled oscillators are presented and corresponding numerical examples are respectively provided to verify the feasibility and effectiveness of the theoretical results.
本文研究了具有随机干扰的有符号网络的非周期性间断控制的二部同步问题。所提出的非周期性间断控制基于离散时间状态观测值,而不是连续时间状态观测值。为了构建有符号网络并展示竞争关系,构建了一个结构平衡的有符号网络,并且所有单元被分为两个子社区。通过使用 Lyapunov 方法和图论,给出了二部同步的一些充分条件。同时,当非周期性间断控制分别退化为周期性间断控制和反馈控制时,给出了两个推论以确保有符号网络的二部同步。最后,给出了两个耦合单连杆机器人和耦合振荡器的应用实例,并分别给出了相应的数值例子来验证理论结果的可行性和有效性。