Title
Distributed consensus control for second-order nonlinear multi-agent systems with unknown control directions and position constraints.
Abstract
This paper investigates the leaderless consensus problem in the presence of unknown control directions and position constraints under directed graph. Based on the Nussbaum-gain technique and Barrier Lyapunov functions, the position-constrained consensus protocol is proposed for the multi-agent systems with unknown control directions. The proposed protocol ensures that all the signals in the closed-loop system are globally bounded and the consensus errors asymptotically converge to zero. Moreover, during the process of consensus, the trajectory of the position state of each agent is contained in the open interval which can be chosen arbitrarily in advance. A simulation example is given to demonstrate the effectiveness of the proposed control protocol.
Year
DOI
Venue
2018
10.1016/j.neucom.2018.03.063
Neurocomputing
Keywords
Field
DocType
Distributed consensus control,Barrier Lyapunov functions,Nussbaum gain control,Directed graph
Consensus,Lyapunov function,Nonlinear system,Control theory,Directed graph,Multi-agent system,Artificial intelligence,Machine learning,Mathematics,Trajectory,Bounded function
Journal
Volume
ISSN
Citations 
306
0925-2312
2
PageRank 
References 
Authors
0.35
19
4
Name
Order
Citations
PageRank
Xuan Cai1225.77
Chaoli Wang25811.04
gang wang3576.61
Dengyu Liang422.04