Neuro-Adaptive Containment Seeking of Multiple Networking Agents with Unknown Dynamics Conference Paper uri icon


  • Springer International Publishing AG 2017. This paper studies the quasi-containment and asymptotic containment problems of networking uncertain agents with multiple leaders over a fixing communication graph. A kind of containment controller consisting of a linear feedback term, a neuro-adaptive approximation term as well as a non-smooth feedback term is designed to complete the goal of quasi-containment. Under the assumption that the subgraph depicting the underlying communication configuration among multiple followers is detail-balanced and each follower can be at least indirectly influenced by one leader, it is proven that quasi-containment can be realized if the containment controller are appropriately designed. The results are then extended to asymptotic containment of networking uncertain agents with multiple leaders.

published proceedings

  • Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

author list (cited authors)

  • Wen, G., Wang, P., Huang, T., Cheng, L., & Sun, J.

citation count

  • 0

complete list of authors

  • Wen, Guanghui||Wang, Peijun||Huang, Tingwen||Cheng, Long||Sun, Junyong

publication date

  • May 2017