Abstract

In this paper, we study the stability of Caputo-type fractional stochastic differential equations. Stochastic stability and stochastic asymptotical stability are shown by stopping time technique. Almost surly exponential stability and pth moment exponentially stability are derived by a new established Itô’s formula of Caputo version. Numerical examples are given to illustrate the main results.

Highlights

  • Fractional derivative is used to study the properties of memory and genetic for complex systems in different fields of application; see [2, 6]

  • Wu et al [23] introduced a new result for Mittag-Leffler stability analysis of fractional discrete-time neural networks via fixed point technique

  • For more details on fractional differential equations, we refer to the monographs [12, 25]

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Summary

Introduction

Fractional derivative is used to study the properties of memory and genetic for complex systems in different fields of application; see [2, 6]. Burton et al [3,4,5] presented the application of fixed point technology to stability analysis and fractional differential equations. Uniqueness and stability of solutions to stochastic partial differential equations have been studied by many researchers; see [2, 8, 15, 17, 20]. Doan et al [8] studied asymptotic separation between solutions of the following Caputo fractional stochastic differential equations: CD0α+ X(t) = f t, X(t). Note that asymptotic behavior and exponential stability of fractional stochastic differential equations in the sense of expected have been studied in [6, 16]. Numerical simulation illustrates our theoretical results in the final section

Preliminaries
Itô’s formula of Caputo version
Stability results
Examples
Conclusion
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