Title
Distributed fuzzy consensus of uncertain topology structure multi-agent systems with non-identical partially unknown control directions.
Abstract
This paper mainly studies the consensus problem for a class of multi-agent systems with uncertain topology structure and non-identical partially unknown control directions. Aiming at uncertain topology structure and unknown control directions, T-S fuzzy model and Nussbaum function are used, respectively. Under the assumption that uncertain topology structure is fuzzy union connected and only a small portion of followers have access to the information of leader, some new control protocols are presented to solve the consensus problem for the first-order and second-order nonlinear multi-agent systems, respectively. Furthermore, the designed consensus protocols can be extended to the formation control. At last, the validity of the proposed methods is verified by four simulation examples.
Year
DOI
Venue
2019
10.1016/j.amc.2019.124581
Applied Mathematics and Computation
Keywords
Field
DocType
Adaptive consensus,Multi-agent systems,T-S fuzzy model,Uncertain topology structure,Non-identical control directions,Partially unknown
Consensus,Topology,Mathematical optimization,Fuzzy model,Nonlinear system,Fuzzy logic,Multi-agent system,Mathematics,Nussbaum function
Journal
Volume
ISSN
Citations 
362
0096-3003
1
PageRank 
References 
Authors
0.36
0
4
Name
Order
Citations
PageRank
Jiaxi Chen183.17
Jun-Min LI239036.09
Rui Zhang338186.83
Chengzhou Wei410.70