Synchronized stationary distribution of hybrid stochastic coupled systems with applications to coupled oscillators and a Chua's circuits network

被引:35
作者
Li, Sen [1 ]
Su, Huan [1 ]
Ding, Xiaohua [1 ]
机构
[1] Harbin Inst Technol, Dept Math, Weihai 264209, Peoples R China
来源
JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS | 2018年 / 355卷 / 17期
基金
中国国家自然科学基金;
关键词
CLUSTER SYNCHRONIZATION; DYNAMICAL NETWORKS; NEURAL-NETWORKS; CONVERGENCE;
D O I
10.1016/j.jfranklin.2018.09.015
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
In this paper, the existence of synchronized stationary distribution for hybrid stochastic coupled systems (HSCSs) (here, also known as stochastic coupled systems with Markovian switching) is concerned. By the existence theory of stationary distribution as well as Lyapunov method and graph theory, two kinds of sufficient criteria are presented to promise the existence of synchronized stationary distribution for HSCSs. Our results exhibit that the existence region of synchronized stationary distribution has a close relationship with the intensity of stochastic perturbation. And when stochastic perturbation vanishes, synchronized stationary distribution will become complete synchronization. Then the proposed theoretical results are successfully applied to stochastic coupled oscillators and a Chua's circuits network. Some existence criteria of synchronized stationary distribution are also obtained. The corresponding numerical simulations are carried out to verify the validity of the theoretical results. (c) 2018 The Franklin Institute. Published by Elsevier Ltd. All rights reserved.
引用
收藏
页码:8743 / 8765
页数:23
相关论文
共 46 条
[1]   Bifurcations and global stability of synchronized stationary states in the Kuramoto model for oscillator populations [J].
Acebrón, J.A. ;
Perales, A. ;
Spigler, R. .
Physical Review E - Statistical, Nonlinear, and Soft Matter Physics, 2001, 64 (1 II) :1-016218
[2]  
Akram M, 2016, J MULT-VALUED LOG S, V27, P531
[3]   A novel fuzzy decision-making system for CPU scheduling algorithm [J].
Butt, Muhammad Arif ;
Akram, Muhammad .
NEURAL COMPUTING & APPLICATIONS, 2016, 27 (07) :1927-1939
[4]   Impulsive synchronization of Markovian jumping randomly coupled neural networks with partly unknown transition probabilities via multiple integral approach [J].
Chandrasekar, A. ;
Rakkiyappan, R. ;
Cao, Jinde .
NEURAL NETWORKS, 2015, 70 :27-38
[5]  
Chua L. O., 1993, Journal of Circuits, Systems and Computers, V3, P93, DOI 10.1142/S0218126693000071
[6]  
David J. J., 2017, PHYS REV E, V96
[7]   Modular experimental setup for real-time analysis of emergent behavior in networks of Chua's circuits [J].
de Magistris, Massimiliano ;
di Bernardo, Mario ;
Manfredi, Sabato ;
Petrarca, Carlo ;
Yaghouti, Soudeh .
INTERNATIONAL JOURNAL OF CIRCUIT THEORY AND APPLICATIONS, 2016, 44 (08) :1551-1571
[8]   Fuzzy Climate Decision Support Systems for Tomatoes in High Tunnels [J].
Habib, Shaista ;
Akram, Muhammad ;
Ashraf, Ather .
INTERNATIONAL JOURNAL OF FUZZY SYSTEMS, 2017, 19 (03) :751-775
[9]   Event-triggered consensus of Markovian jumping multi-agent systems via stochastic sampling [J].
Hu, Aihua ;
Cao, Jinde ;
Hu, Manfeng ;
Guo, Liuxiao .
IET CONTROL THEORY AND APPLICATIONS, 2015, 9 (13) :1964-1972
[10]   Steady States of Fokker-Planck Equations: III. Degenerate Diffusion [J].
Huang, Wen ;
Ji, Min ;
Liu, Zhenxin ;
Yi, Yingfei .
JOURNAL OF DYNAMICS AND DIFFERENTIAL EQUATIONS, 2016, 28 (01) :127-141