Paper Info
Title
Neuro-Adaptive Containment Seeking of Multiple Networking Agents with Unknown Dynamics.
Abstract
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.
Year
DOI
Venue
2017
10.1007/978-3-319-59081-3_22
ADVANCES IN NEURAL NETWORKS, PT II
Keywords
Field
DocType
Neural network,Quasi-containment,Networking agents
Graph,Control theory,Control theory,Computer science,Artificial intelligence,Artificial neural network,Containment,Machine learning
Conference
Volume
ISSN
Citations 
10262
0302-9743
0
PageRank 
References 
Authors
0.34
3
5
Name
Order
Citations
PageRank
Guanghui Wen12100113.74
Peijun Wang2505.73
Tingwen Huang35684310.24
Long Cheng4149273.97
Junyong Sun5775.82