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
  • [41] Stochastic stability of fractional-order Markovian jumping complex-valued neural networks with time-varying delays
    Aravind, R. Vijay
    Balasubramaniam, P.
    NEUROCOMPUTING, 2021, 439 : 122 - 133
  • [42] Global asymptotic stability of delayed fractional-order complex-valued fuzzy cellular neural networks with impulsive disturbances
    R. Vijay Aravind
    P. Balasubramaniam
    Journal of Applied Mathematics and Computing, 2022, 68 : 4713 - 4731
  • [43] Global asymptotic stability of delayed fractional-order complex-valued fuzzy cellular neural networks with impulsive disturbances
    Aravind, R. Vijay
    Balasubramaniam, P.
    JOURNAL OF APPLIED MATHEMATICS AND COMPUTING, 2022, 68 (06) : 4713 - 4731
  • [44] Exponential stability analysis for delayed complex-valued memristor-based recurrent neural networks
    Zhang, Ziye
    Liu, Xiaoping
    Lin, Chong
    Zhou, Shaowei
    NEURAL COMPUTING & APPLICATIONS, 2019, 31 (06): : 1893 - 1903
  • [45] Exponential stability analysis for delayed complex-valued memristor-based recurrent neural networks
    Ziye Zhang
    Xiaoping Liu
    Chong Lin
    Shaowei Zhou
    Neural Computing and Applications, 2019, 31 : 1893 - 1903
  • [46] Delayed impulsive control for synchronization of complex-valued stochastic complex network with unbounded delays under cyber attacks
    Chen, Zanbo
    Huo, Chenxu
    Zou, Xiaoling
    Li, Wenxue
    CHAOS SOLITONS & FRACTALS, 2024, 180
  • [47] Robust stability analysis of impulsive complex-valued neural networks with mixed time delays and parameter uncertainties
    Yuanshun Tan
    Sanyi Tang
    Xiaofeng Chen
    Advances in Difference Equations, 2018
  • [48] Robust stability analysis of impulsive complex-valued neural networks with mixed time delays and parameter uncertainties
    Tan, Yuanshun
    Tang, Sanyi
    Chen, Xiaofeng
    ADVANCES IN DIFFERENCE EQUATIONS, 2018,
  • [49] Exponential stability for generalized stochastic impulsive functional differential equations with delayed impulses and Markovian switching
    Gao, Lijun
    Wang, Dandan
    Zong, Guangdeng
    NONLINEAR ANALYSIS-HYBRID SYSTEMS, 2018, 30 : 199 - 212
  • [50] Stochastic Complex-valued Neural Networks for Radar
    Ouabi, Othmane-Latif
    Pribic, Radmila
    Olaru, Sorin
    28TH EUROPEAN SIGNAL PROCESSING CONFERENCE (EUSIPCO 2020), 2021, : 1442 - 1446