Analysis and Control of Output Synchronization in Directed and Undirected Complex Dynamical Networks. Academic Article uri icon


  • This research focuses on the problem of output synchronization in undirected and directed complex dynamical networks, respectively, by applying Barbalat's lemma. First, to ensure the output synchronization, several sufficient criteria are established for these network models based on some mathematical techniques, such as the Lyapunov functional method and matrix theory. Furthermore, some adaptive schemes to adjust the coupling weights among network nodes are developed to achieve the output synchronization. By applying the designed adaptive laws, several criteria for output synchronization are deduced for the network models. In addition, a design procedure of the adaptive law is shown. Finally, two simulation examples are used to show the effectiveness of the previous results.

published proceedings

  • IEEE Trans Neural Netw Learn Syst

altmetric score

  • 0.25

author list (cited authors)

  • Wang, J., Wu, H., Huang, T., Ren, S., Wu, J., & Zhang, X.

citation count

  • 33

complete list of authors

  • Wang, Jin-Liang||Wu, Huai-Ning||Huang, Tingwen||Ren, Shun-Yan||Wu, Jigang||Zhang, Xiao-Xiao

publication date

  • August 2018