2018
DOI: 10.1016/j.jfranklin.2017.12.041
|View full text |Cite
|
Sign up to set email alerts
|

Finite-time outer-synchronization for complex networks with Markov jump topology via hybrid control and its application to image encryption

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
4
1

Citation Types

0
16
0

Year Published

2019
2019
2024
2024

Publication Types

Select...
9
1

Relationship

0
10

Authors

Journals

citations
Cited by 46 publications
(16 citation statements)
references
References 45 publications
0
16
0
Order By: Relevance
“…As one of the most popular chaotic systems, the Lorenz chaotic system and its extensions are very popular in image encryption [40][41][42][43][44]. Most recently, Yang et al have found a new 7D autonomous hyperchaotic system with 5 positive LEs by adding feedback controllers to the Lorenz system [39], formulated aṡ…”
Section: Hyperchaotic Systemsmentioning
confidence: 99%
“…As one of the most popular chaotic systems, the Lorenz chaotic system and its extensions are very popular in image encryption [40][41][42][43][44]. Most recently, Yang et al have found a new 7D autonomous hyperchaotic system with 5 positive LEs by adding feedback controllers to the Lorenz system [39], formulated aṡ…”
Section: Hyperchaotic Systemsmentioning
confidence: 99%
“…Due to the complexities of dynamical networks, outer synchronization between them is difficult and even impossible to achieve without external control. Therefore, many control schemes are adopted to design effective controllers, such as impulsive control [13,14], intermittent control [15,16], pinning control [14][15][16][17], finite-time control [18], and so on. In [14], authors considered the outer synchronization of drive-response networks by combining impulsive and pinning control.…”
Section: Introductionmentioning
confidence: 99%
“…Therefore coupled networks with Markovian switching can better describe telegraph noise, whereas deterministic systems or stochastic systems driven by Brownian motion mentioned above cannot explain it. Synchronization of coupled networks with Markovian switching has received extensive attention [23][24][25][26][27].…”
Section: Introductionmentioning
confidence: 99%