2020
DOI: 10.1186/s13662-020-02620-1
|View full text |Cite
|
Sign up to set email alerts
|

Synchronization of stochastic multiple weighted coupled networks with Markovian switching

Abstract: We investigate the synchronization of stochastic multiple weighted coupled networks with Markovian switching (SMWCNMS). By designing an appropriate controller, we obtain several sufficient criteria ensuring the pth moment exponential synchronization and almost surely exponential synchronization for SMWCNMS based on graph theory. Moreover, we also investigate the pth moment asymptotical synchronization and almost surely asymptotical synchronization for SMWCNMS. Finally, we provide a numerical example to illustr… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1

Citation Types

0
2
0

Year Published

2020
2020
2022
2022

Publication Types

Select...
2
1

Relationship

0
3

Authors

Journals

citations
Cited by 3 publications
(2 citation statements)
references
References 45 publications
0
2
0
Order By: Relevance
“…Proof. The Lyapunov-Krasovskii function in the entire time interval is described as (21), then the Lyapunov-Krasovskii function constructed in the interval (t š›æāˆ’1 , t š›æ ] is as follows:…”
Section: Theorem 2 Design the Controller And Update Laws As Followsmentioning
confidence: 99%
See 1 more Smart Citation
“…Proof. The Lyapunov-Krasovskii function in the entire time interval is described as (21), then the Lyapunov-Krasovskii function constructed in the interval (t š›æāˆ’1 , t š›æ ] is as follows:…”
Section: Theorem 2 Design the Controller And Update Laws As Followsmentioning
confidence: 99%
“…From the above example, the advantages of the multiā€weight network models in practical engineering are further reflected. In [21], the stochastic multiple weighted coupled Markovian switching networks are considered. The finiteā€time synchronization for a class of nonā€linear coupled multiā€weighted Markovian switching complex networks with timeā€varying delay is studied in [22].…”
Section: Introductionmentioning
confidence: 99%