Stability analysis for complex-valued stochastic delayed networks with Markovian switching and impulsive effects

被引:25
|
作者
Wang, Pengfei [1 ]
Wang, Xiaolei [1 ]
Su, Huan [1 ]
机构
[1] Harbin Inst Technol Weihai, Dept Math, Weihai 264209, Peoples R China
来源
COMMUNICATIONS IN NONLINEAR SCIENCE AND NUMERICAL SIMULATION | 2019年 / 73卷
关键词
Complex-valued stochastic networks; Markovian switching; Complex generalized Ito's formula; Average impulsive interval; TIME-VARYING DELAYS; FUNCTIONAL-DIFFERENTIAL EQUATIONS; PTH MOMENT STABILITY; NEURAL-NETWORKS; STATIONARY DISTRIBUTION; EXPONENTIAL STABILITY; REAL FUNCTIONS; SYSTEMS; STABILIZATION; SYNCHRONIZATION;
D O I
10.1016/j.cnsns.2019.02.001
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
This paper is concerned with the stability of complex-valued stochastic delayed networks, in which, the Markovian switching and impulsive effects are both considered into the model. Based on the existing complex version Ito's formula and generalized Ito's formula, we propose complex generalized Ito's formula to study the stability of complex-valued stochastic networks with Markovian switching on complex domain directly, which avoids separating the real and imaginary parts. Then by combining Lyapunov function method with graph-theoretical technique, we derive several new sufficient conditions that mainly depend on the average impulsive interval, the connectivity of considered networks and the integral average value of the time-varying coefficients. In comparison with related results, our results are less conservative. For illustration, the stability of a class of complex-valued stochastic coupled oscillators with impulsive effects is investigated. Finally, two numerical examples are given to show the effectiveness of the main results. (C) 2019 Elsevier B.V. All rights reserved.
引用
收藏
页码:35 / 51
页数:17
相关论文
共 50 条
  • [21] Stability of complex-valued impulsive system with delay
    Fang, Tao
    Sun, Jitao
    APPLIED MATHEMATICS AND COMPUTATION, 2014, 240 : 102 - 108
  • [22] Globally exponential stability of stochastic neutral-type delayed neural networks with impulsive perturbations and Markovian switching
    Yan Gao
    Wuneng Zhou
    Chuan Ji
    Dongbing Tong
    Jian’an Fang
    Nonlinear Dynamics, 2012, 70 : 2107 - 2116
  • [23] Globally exponential stability of stochastic neutral-type delayed neural networks with impulsive perturbations and Markovian switching
    Gao, Yan
    Zhou, Wuneng
    Ji, Chuan
    Tong, Dongbing
    Fang, Jian'an
    NONLINEAR DYNAMICS, 2012, 70 (03) : 2107 - 2116
  • [24] Robust stability of stochastic delayed additive neural networks with Markovian switching
    Huang, He
    Ho, Daniel W. C.
    Qu, Yuzhong
    NEURAL NETWORKS, 2007, 20 (07) : 799 - 809
  • [25] On Global Stability of Delayed BAM Stochastic Neural Networks with Markovian Switching
    Liu, Yurong
    Wang, Zidong
    Liu, Xiaohui
    NEURAL PROCESSING LETTERS, 2009, 30 (01) : 19 - 35
  • [26] Comparison principle and stability of stochastic delayed neural networks with Markovian switching
    Li, Dan
    Zhu, Quanxin
    NEUROCOMPUTING, 2014, 123 : 436 - 442
  • [27] On Global Stability of Delayed BAM Stochastic Neural Networks with Markovian Switching
    Yurong Liu
    Zidong Wang
    Xiaohui Liu
    Neural Processing Letters, 2009, 30 : 19 - 35
  • [28] Robust stability analysis of impulsive complex-valued neural networks with time delays and parameter uncertainties
    Yuanshun Tan
    Sanyi Tang
    Jin Yang
    Zijian Liu
    Journal of Inequalities and Applications, 2017
  • [29] Robust stability analysis of impulsive complex-valued neural networks with time delays and parameter uncertainties
    Tan, Yuanshun
    Tang, Sanyi
    Yang, Jin
    Liu, Zijian
    JOURNAL OF INEQUALITIES AND APPLICATIONS, 2017,
  • [30] Stability analysis for impulsive stochastic delay differential equations with Markovian switching
    Li, Bing
    Li, Dingshi
    Xu, Daoyi
    JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS, 2013, 350 (07): : 1848 - 1864