2020
DOI: 10.1155/2020/6819289
|View full text |Cite
|
Sign up to set email alerts
|

Finite-Time Synchronization for a Class of Multiweighted Complex Networks with Markovian Switching and Time-Varying Delay

Abstract: In this paper, we investigate the finite-time synchronization control for a class of nonlinear coupled multiweighted complex networks (NCMWCNs) with Markovian switching and time-varying delay analytically and quantitatively. The value of this study lies in four aspects: First, it designs the finite-time synchronization controller to make the NCMWCNs with Markovian switching and time-varying delay achieve global synchronization in finite time. Second, it derives two kinds of finite-time estimation approaches by… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

0
1
0

Year Published

2021
2021
2023
2023

Publication Types

Select...
2

Relationship

0
2

Authors

Journals

citations
Cited by 2 publications
(1 citation statement)
references
References 73 publications
0
1
0
Order By: Relevance
“…In [21], the stochastic multiple weighted coupled Markovian switching networks are considered. The finite-time synchronization for a class of non-linear coupled multi-weighted Markovian switching complex networks with time-varying delay is studied in [22]. In addition, the parameters of the real systems may be unknown or uncertain, and the synchronization process of the multi-weighted Markovian switching network may be affected or even disrupted by these unknown parameters [23,24].…”
mentioning
confidence: 99%
“…In [21], the stochastic multiple weighted coupled Markovian switching networks are considered. The finite-time synchronization for a class of non-linear coupled multi-weighted Markovian switching complex networks with time-varying delay is studied in [22]. In addition, the parameters of the real systems may be unknown or uncertain, and the synchronization process of the multi-weighted Markovian switching network may be affected or even disrupted by these unknown parameters [23,24].…”
mentioning
confidence: 99%