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
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
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