2017
DOI: 10.1109/tcyb.2016.2591518
|View full text |Cite
|
Sign up to set email alerts
|

Pinning Control of Lag-Consensus for Second-Order Nonlinear Multiagent Systems

Abstract: Lag consensus means that the corresponding state vectors of the followers are behind the leader with a lag time. In this paper, Lyapunov functional and matrix theory are applied to analyze pinning-controlled lag consensus of second-order nonlinear multiagent systems. The focus is twofold: 1) to find out which agents should be pinned and 2) to determine what the coupling strength should be, so that the multiagent systems can reach lag consensus. Moreover, the practical problem in a noisy environment is consider… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
2

Citation Types

0
15
0

Year Published

2018
2018
2024
2024

Publication Types

Select...
6

Relationship

0
6

Authors

Journals

citations
Cited by 58 publications
(15 citation statements)
references
References 48 publications
0
15
0
Order By: Relevance
“…Remark When ρ 3 = 0, Assumption becomes the Lipschitz condition. Therefore, the restrictions on the unknown nonlinearities of multiagent systems are more relaxed than those in other works …”
Section: Problem Formulation and Preliminary Resultsmentioning
confidence: 99%
See 3 more Smart Citations
“…Remark When ρ 3 = 0, Assumption becomes the Lipschitz condition. Therefore, the restrictions on the unknown nonlinearities of multiagent systems are more relaxed than those in other works …”
Section: Problem Formulation and Preliminary Resultsmentioning
confidence: 99%
“…Therefore, the restrictions on the unknown nonlinearities of multiagent systems are more relaxed than those in other works. [19][20][21][22][23][24][25] Assumption 2. The external disturbances of all followers are bounded by a positive constant , that is, |d i | ⩽ .…”
Section: Problem Formulationmentioning
confidence: 99%
See 2 more Smart Citations
“…In the literature, many control strategies have been proposed to enable the network to be stabilized. These include pinning control [8]- [11], fuzzy control [12], impulsive control [13], and fixed-time control [14], etc. As it is generally rather expensive, and not necessary to impose controllers on all network nodes, pinning control stands out as a good choice since it can be realized by controlling only a subset of network nodes.…”
Section: Introductionmentioning
confidence: 99%