2017
DOI: 10.1109/tsmc.2016.2564929
|View full text |Cite
|
Sign up to set email alerts
|

Distributed Tracking of Nonlinear Multiagent Systems Under Directed Switching Topology: An Observer-Based Protocol

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
5

Citation Types

0
73
0

Year Published

2017
2017
2020
2020

Publication Types

Select...
8

Relationship

1
7

Authors

Journals

citations
Cited by 197 publications
(73 citation statements)
references
References 43 publications
0
73
0
Order By: Relevance
“…Many scholars have made their efforts on the consensus of multiagent systems with nonlinear dynamics. For example, the consensus of nonlinear multiagent system with global Lipschitz constraint was considered by Hu et al 25 With the same assumption on nonlinear part, Wen et al 26 extended the result to switching topology case. Furthermore, other authors 21,22,27 investigated the consensus of heterogeneous nonlinear multiagent system.…”
Section: Introductionmentioning
confidence: 99%
“…Many scholars have made their efforts on the consensus of multiagent systems with nonlinear dynamics. For example, the consensus of nonlinear multiagent system with global Lipschitz constraint was considered by Hu et al 25 With the same assumption on nonlinear part, Wen et al 26 extended the result to switching topology case. Furthermore, other authors 21,22,27 investigated the consensus of heterogeneous nonlinear multiagent system.…”
Section: Introductionmentioning
confidence: 99%
“…Notice that the existence of noises 8,9 is inevitable. In practical applications, the common cooperative control protocols for MASs in other works [10][11][12][13] cannot be directly applied for solving the consensus problem with communication noises. In order to deal with the negative effect of additive noise, whose intensity is independent of agents' states, a noise attenuation technique was developed based on the stochastic approximation.…”
Section: Introductionmentioning
confidence: 99%
“…This method is later applied to solve the formation control problem of autonomous surface vehicles in the presence of dynamic uncertainty and environmental disturbances in [15] . It should be noted that although the simplified formation controllers have been derived for many kinds of cooperative control of multi-agent/robot system [15][16][17][18][19][20][21]47] , the higher derivative of the reference signal is required to be known due to the NN based DSC technique, which is quite impractical in applications.…”
Section: Introductionmentioning
confidence: 99%