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

abstract

• 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.

authors

• Huang, Tingwen

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

publisher

• Springer Nature  Publisher

published in

• Lecture Notes in Artificial Intelligence  Journal

Digital Object Identifier (DOI)

• 10.1007/978-3-319-59081-3_22

International Standard Book Number (ISBN) 13

• 9783319590806

start page

• 178

end page

• 186

volume

• 10262