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

机译:具有马尔可夫切换和脉冲效应的复数值随机时滞网络的稳定性分析

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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.
机译:本文关注的是复值随机时滞网络的稳定性,其中考虑了马尔可夫切换和脉冲效应。基于现有的复杂版本Ito公式和广义Ito公式,我们提出了复杂广义Ito公式,以研究马尔可夫直接在复杂域上切换的多值随机网络的稳定性,避免了分离实部和虚部。然后,通过将Lyapunov函数方法与图论技术相结合,我们得出了几个新的充分条件,这些条件主要取决于平均脉冲间隔,所考虑网络的连通性以及时变系数的积分平均值。与相关结果相比,我们的结果不那么保守。为了说明,研究了一类具有脉冲效应的复值随机耦合振荡器的稳定性。最后,通过两个数值例子说明了主要结果的有效性。 (C)2019 Elsevier B.V.保留所有权利。

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