Lyapunov Techniques for Stochastic Differential Equations Driven by Fractional Brownian Motion

Caibin Zeng, Qigui Yang and YangQuan Chen

Abstract and Applied Analysis, 2014, vol. 2014, 1-9

Abstract:

Little seems to be known about evaluating the stochastic stability of stochastic differential equations (SDEs) driven by fractional Brownian motion (fBm) via stochastic Lyapunov technique. The objective of this paper is to work with stochastic stability criterions for such systems. By defining a new derivative operator and constructing some suitable stochastic Lyapunov function, we establish some sufficient conditions for two types of stability, that is, stability in probability and moment exponential stability of a class of nonlinear SDEs driven by fBm. We will also give an example to illustrate our theory. Specifically, the obtained results open a possible way to stochastic stabilization and destabilization problem associated with nonlinear SDEs driven by fBm.

Date: 2014
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Persistent link: https://EconPapers.repec.org/RePEc:hin:jnlaaa:292653

DOI: 10.1155/2014/292653

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