Event-triggered asynchronous intermittent communication strategy for synchronization in complex dynamical networks. Academic Article uri icon


  • This paper presents a new framework for synchronization of complex network by introducing a mechanism of event-triggering distributed sampling information. A kind of event which avoids continuous communication between neighboring nodes is designed to drive the controller update of each node. The advantage of the event-triggering strategy is the significant decrease of the number of controller updates for synchronization task of complex networks involving embedded microprocessors with limited on-board resources. To describe the system's ability reaching synchronization, a concept about generalized algebraic connectivity is introduced for strongly connected networks and then extended to the strongly connected components of the directed network containing a directed spanning tree. Two sufficient conditions are presented to reveal the underlying relationships of corresponding parameters to reach global synchronization based on algebraic graph, matrix theory and Lyapunov control method. A positive lower bound for inter-event times is derived to guarantee the absence of Zeno behavior. Finally, a numerical simulation example is provided to demonstrate the theoretical results.

published proceedings

  • Neural Netw

author list (cited authors)

  • Li, H., Liao, X., Chen, G., Hill, D. J., Dong, Z., & Huang, T.

citation count

  • 160

complete list of authors

  • Li, Huaqing||Liao, Xiaofeng||Chen, Guo||Hill, David J||Dong, Zhaoyang||Huang, Tingwen

publication date

  • June 2015