Quasisynchronization of Heterogeneous Dynamical Networks via Event-Triggered Impulsive Controls

作者：Wen Sun, Huannan Zheng, Wanli Guo, Yuhua Xu, Jinde Cao, Mahmoud Abdel‐Aty, Shihua Chen · 发表于：IEEE Transactions on Cybernetics · 年份：2020 · DOI：10.1109/tcyb.2020.2975234 · 被引用次数：64 · 研究领域：Neural Networks Stability and Synchronization、Distributed Control Multi-Agent Systems、Nonlinear Dynamics and Pattern Formation

The time-triggered impulsive control of complex homogeneous dynamical networks has received wide attention due to its occasional occupation of the communication channels. This article is devoted to quasisynchronization of heterogeneous dynamical networks via event-triggered impulsive controls with less channel occupation. Two kinds of triggered mechanisms, that is, the centralized event-triggered mechanism in which the control is updated based upon the state information of all nodes, and the distributed event-triggered mechanism where the control is updated according to the state information of each node and its neighboring node, are proposed, respectively, such that the synchronization error between the heterogeneous dynamical networks and a virtual target is not more than a nonzero bound. What is more, the Zeno behavior is shown to be excluded. It is found that the combination method of the event-triggered control and the impulsive control, that is, the distributed event-triggered impulsive control has the advantage of low-energy consumption and takes up many fewer communication channels over the time-triggered impulsive control. Two numerical examples are conducted to illustrate the effectiveness of the proposed event-triggered impulsive controls.