2016
DOI: 10.1016/j.neucom.2015.09.005
|View full text |Cite
|
Sign up to set email alerts
|

Leaderless consensus of multi-agent systems with Lipschitz nonlinear dynamics and switching topologies

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1

Citation Types

0
41
0

Year Published

2016
2016
2023
2023

Publication Types

Select...
6

Relationship

0
6

Authors

Journals

citations
Cited by 92 publications
(41 citation statements)
references
References 26 publications
0
41
0
Order By: Relevance
“…In [18,22,23], consensus problems of multi-agent systems with nonlinear dynamics under switching topologies were considered. However, a common assumption of these works on the switching topologies is all the topologies are required to be connected or having a spanning tree.…”
Section: Remarkmentioning
confidence: 99%
See 1 more Smart Citation
“…In [18,22,23], consensus problems of multi-agent systems with nonlinear dynamics under switching topologies were considered. However, a common assumption of these works on the switching topologies is all the topologies are required to be connected or having a spanning tree.…”
Section: Remarkmentioning
confidence: 99%
“…Different assumptions on the switching topologies for multi-agent systems have been explored in recent years [16][17][18]. By assuming that the switching topologies keep connected or contain a spanning tree at every time, a heap of results have been reported [19][20][21][22][23]. However, it is impractical to impose the connectivity condition on all possible topologies.…”
Section: Introductionmentioning
confidence: 99%
“…The early research about the consensus was mainly conducted under the framework of linear systems . Because the nonlinear dynamics is indeed inherent for multiagent systems, the consensus for multiagent system with nonlinear dynamics has received increasing attention . In the work of Liu et al, by employing matrix decomposition and variable transformation method, the consensus of multiple agents was reached under the designed feedback control gains.…”
Section: Introductionmentioning
confidence: 99%
“…[11][12][13] Because the nonlinear dynamics is indeed inherent for multiagent systems, the consensus for multiagent system with nonlinear dynamics has received increasing attention. [14][15][16] In the work of Liu et al, 14 by employing matrix decomposition and variable transformation method, the consensus of multiple agents was reached under the designed feedback control gains. A state transformation was employed in the work of Li and Ji 15 to deal with the nonlinear dynamics in the multiagent systems, then by choosing proper…”
Section: Introductionmentioning
confidence: 99%
See 1 more Smart Citation