Abstract

In this article, we discuss a class of impulsive stochastic function differential equations driven by $G $-Brownian motion with delayed impulsive effects ($G $-DISFDEs, in short). Some sufficient conditions for $p$-th moment exponential stability of $G $-DISFDEs are derived by means of $G $-Lyapunov function method, average impulsive interval approach and Razumikhin-type conditions. An example is provided to show the effectiveness of the theoretical results.

Highlights

  • Impulsive dynamical systems have been widely used in many branches of science and technology such as in the transmission of the impulse information, control systems with communication constraints etc

  • Under the framework of the nonlinear G-expectation, Peng [12, 13] introduced the G-Gaussian distribution and the G-Brownian motion, which have very rich and interesting new structures which nontrivially generalize the classical ones. Since these notions were introduced, many investigators have studied the properties on G-Brownian motion and stochastic differential equation driven by G-Brownian motion (G-SDEs, in short)

  • Motivated by the aforementioned works, we aim to study the stability problem of stochastic function differential equations driven by G-Brownian motion with delayed

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Summary

Introduction

Impulsive dynamical systems have been widely used in many branches of science and technology such as in the transmission of the impulse information, control systems with communication constraints etc. Under the framework of the nonlinear G-expectation, Peng [12, 13] introduced the G-Gaussian distribution and the G-Brownian motion, which have very rich and interesting new structures which nontrivially generalize the classical ones. Since these notions were introduced, many investigators have studied the properties on G-Brownian motion (see Hu et al [4, 5, 6]) and stochastic differential equation driven by G-Brownian motion (G-SDEs, in short). G-Brownian motion, G-Lyapunov function, delayed impulses, average impulsive interval, exponential stability.

It is easy to check that the linear mapping
For any ηt
Let ηij
The impulsive function
The impulsive function k

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