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Stochastic quasi-synchronization of heterogeneous delayed impulsive dynamical networks via single impulsive control
- Source :
- Neural networks : the official journal of the International Neural Network Society. 139
- Publication Year :
- 2020
-
Abstract
- This paper investigates the quasi-synchronization problem of the stochastic heterogeneous complex dynamical networks with impulsive couplings and multiple time-varying delays. It is shown that this kind of dynamical networks can achieve exponential quasi-synchronization by exerting impulsive control added on only one chosen pinning node. By employing the Lyapunov stability theory, some sufficient criteria on quasi-synchronization for this dynamical network are established, revealing the relationship between the quasi-synchronization performance and the stochastic perturbations as well as the frequency and strength of impulsive coupling. Finally, some numerical examples are used to illustrate the effectiveness of the main results.
- Subjects :
- Lyapunov stability
Coupling
0209 industrial biotechnology
Stochastic Processes
Time Factors
Computer science
Cognitive Neuroscience
02 engineering and technology
Synchronization
Exponential function
020901 industrial engineering & automation
Artificial Intelligence
Control theory
0202 electrical engineering, electronic engineering, information engineering
020201 artificial intelligence & image processing
Node (circuits)
Neural Networks, Computer
Dynamical network
Control (linguistics)
Subjects
Details
- ISSN :
- 18792782
- Volume :
- 139
- Database :
- OpenAIRE
- Journal :
- Neural networks : the official journal of the International Neural Network Society
- Accession number :
- edsair.doi.dedup.....c7d48401caf9b202a142ec15c85f3cc2