2021
DOI: 10.1016/j.amc.2020.125813
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Stability equivalence among stochastic differential equations and stochastic differential equations with piecewise continuous arguments and corresponding Euler-Maruyama methods

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Cited by 4 publications
(3 citation statements)
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“…e investigation of RNNs subject to piecewise arguments is a breakthrough in literature [14], and the sufficient conditions for the exponential stability of a class of RNNs with piecewise arguments are given by constructing Lyapunov functions. At present, there are also some literatures further exploring the properties of the systems equipped with piecewise arguments [15,25,26]. On the other hand, it can be found that the parameter-intensity of the connection weight matrix is a crucial index affecting the stability of the systems [16-21, 27, 28].…”
Section: Introductionmentioning
confidence: 99%
“…e investigation of RNNs subject to piecewise arguments is a breakthrough in literature [14], and the sufficient conditions for the exponential stability of a class of RNNs with piecewise arguments are given by constructing Lyapunov functions. At present, there are also some literatures further exploring the properties of the systems equipped with piecewise arguments [15,25,26]. On the other hand, it can be found that the parameter-intensity of the connection weight matrix is a crucial index affecting the stability of the systems [16-21, 27, 28].…”
Section: Introductionmentioning
confidence: 99%
“…So far, with a view to these three kinds of interference factors: PCA, NT and SD, some investigators researched the robustness or GES of nonlinear systems influenced by single interference factor, such as [6], [20], [24], [25], [26], [30], [33], [50], etc. Some investigators explored the robustness or GES of systems affected by dual interference factors, such as [16], [27], [28], [29], [51], [53] and so forth. In the above literatures, Ref.…”
Section: Introductionmentioning
confidence: 99%
“…Ref. [53] considered the pth moment exponential stability equivalence among the stochastic differential equations and its derivative systems by the Euler-Maruyama method. In addition, Ref.…”
Section: Introductionmentioning
confidence: 99%