Title
Flocking With Connectivity Preservation For Disturbed Nonlinear Multi-Agent Systems By Output Feedback
Abstract
This paper considers the problem of flocking with connectivity preservation for a class of disturbed nonlinear multi-agent systems. In order to deal with the nonlinearities in the dynamic of all agents, some auxiliary variables are introduced into the state observer for stability analysis. By proposing a bounded potential function and using adaptive theory, a novel output feedback consensus algorithm is developed to guarantee that the states of all agents achieve flocking with connectivity preservation.
Year
DOI
Venue
2018
10.1080/00207179.2017.1305511
INTERNATIONAL JOURNAL OF CONTROL
Keywords
Field
DocType
Flocking, connectivity preservation, nonlinear multi-agent systems, output feedback
State observer,Flocking (texture),Consensus algorithm,Mathematical optimization,Nonlinear system,Control theory,Multi-agent system,Auxiliary variables,Mathematics,Bounded function
Journal
Volume
Issue
ISSN
91
5
0020-7179
Citations 
PageRank 
References 
0
0.34
16
Authors
6
Name
Order
Citations
PageRank
Ping Li17814.22
Baoyong Zhang2101455.14
Qian Ma337029.93
Shengyuan Xu43541251.22
Weimin Chen5233.84
Zhengqiang Zhang641633.11