摘要

This paper is concerned with the almost sure exponential stability of the n-dimensional nonlinear hybrid stochastic functional differential equation (SFDE) dx(t) = f (psi(1) (x(t), t), r(t),t)dt + g(psi(2), t), r(t), t)dB(t), where x(t) = {x(t + u) : -tau <= u <= 0} is a C([-tau, 0]; R-n)-valued process, B(t) is an m-dimensional Brownian motion while r(t) is a Markov chain. We show that if the corresponding hybrid stochastic differential equation (SDE) dy(t) = f(y (t), r(t), t)dt + g(y(t), r(t), t)dB(t) is almost surely exponentially stable, then there exists a positive number T* such that the SFDE is also almost surely exponentially stable as long as T < T*. We also describe a method to determine T* which can be computed numerically in practice.