2017
DOI: 10.1016/j.spl.2016.10.022
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Stability in distribution of stochastic Volterra–Levin equations

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Cited by 4 publications
(3 citation statements)
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“…This property is called asymptotic stability in distribution. Stability in distribution of SDEs-MS has been attracted much attention and some research results appeared, for example, Yuan et al [16], Yuan and Mao [17], Bo and Yuan [18], Dua et al [19], Li and Zhang [20]. It is rather remarkable that You [21] and several collaborators recently made a groundbreaking work: stabilisation in distribution for SDEs-MS with Brownian motion by linear delay feedback controls (DFC) when coefficients are globally Lipschitz continuous.…”
Section: Introductionmentioning
confidence: 99%
See 1 more Smart Citation
“…This property is called asymptotic stability in distribution. Stability in distribution of SDEs-MS has been attracted much attention and some research results appeared, for example, Yuan et al [16], Yuan and Mao [17], Bo and Yuan [18], Dua et al [19], Li and Zhang [20]. It is rather remarkable that You [21] and several collaborators recently made a groundbreaking work: stabilisation in distribution for SDEs-MS with Brownian motion by linear delay feedback controls (DFC) when coefficients are globally Lipschitz continuous.…”
Section: Introductionmentioning
confidence: 99%
“…[16], Yuan and Mao [17], Bo and Yuan [18], Dua et al. [19], Li and Zhang [20]. It is rather remarkable that You [21] and several collaborators recently made a groundbreaking work: stabilisation in distribution for SDEs‐MS with Brownian motion by linear delay feedback controls (DFC) when coefficients are globally Lipschitz continuous.…”
Section: Introductionmentioning
confidence: 99%
“…The author obtained the globally asymptotic attractivity of the positive equilibrium point of this system. However, on the one hand, in the real world, the growth of a population is often subject to environmental perturbations, and hence it is necessary to consider stochastic perturbations in the progress of mathematical modeling [8][9][10][11][12][13][14][15]. There are many kinds of stochastic perturbations.…”
Section: Introductionmentioning
confidence: 99%