Synchronized stationary distribution and synchronization of stochastic coupled networks with Markovian switching via periodically intermittent control

This paper investigates the synchronized stationary distribution of stochastic coupled networks with Markovian switching (CNMS) and the exponential synchronization of CNMS. Except for the Lyapunov method, the periodically intermittent control strategy and the technique of graph theory are applied to...

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Bibliographic Details
Published in:Neurocomputing (Amsterdam) 2020-10, Vol.410, p.28-40
Main Authors: Liu, Yan, Zhao, Shixu, Chu, Dianhui, Li, Wenxue
Format: Article
Language:English
Subjects:
Coupled Chua’s circuits
Graph theory
Markovian switching
Periodically intermittent control
Synchronized stationary distribution
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Summary:This paper investigates the synchronized stationary distribution of stochastic coupled networks with Markovian switching (CNMS) and the exponential synchronization of CNMS. Except for the Lyapunov method, the periodically intermittent control strategy and the technique of graph theory are applied to the study of synchronized stationary distribution and exponential synchronization. Some sufficient conditions to achieve synchronized stationary distribution and exponential synchronization are presented. The results show that the existing domain of synchronized stationary distribution is affected by control rate and the realization of exponential synchronization is also influenced by intensity of control, control rate. In addition, the theoretical results are applied to stochastic coupled oscillators and coupled Chua’s circuits with Markovian switching. Finally, two examples with numerical simulations are provided to illustrate the effectiveness of the results developed.
ISSN:0925-2312
1872-8286
DOI:10.1016/j.neucom.2020.05.051