The asymptotic and stable properties of general stochastic functional differential equations are investigated by the multiple Lyapunov function method, which admits nonnegative upper bounds for the stochastic derivatives of the Lyapunov functions, a theorem for asymptotic properties of the LaSalletype described by limit sets of the solutions of the equations is obtained. Based on the asymptotic properties to the limit set, a theorem of asymptotic stability of the stochastic functional differential equations is also established, which enables us to construct the Lyapunov functions more easily in application. Particularly, the wellknown classical theorem on stochastic stability is a special case of our result, the operator LV is not required to be negative which is more general to fulfil and the stochastic perturbation plays an important role in it. These show clearly the improvement of the traditional method to find the Lyapunov functions. A numerical simulation example is given to illustrate the usage of the method.
本文建立了一类随机多种群易感者、感染者和移出者(susceptical infective and removal,SIR)传染病微分方程模型,针对模型找到与随机因素相关的阈值用于判定疾病的消亡与否.通过阈值里随机干扰的作用给出疾病防控的新方法一随机镇定.与此同时,本文探究无病平衡点的全局稳定性并通过数据仿真实例解释上述理论结果的正确性和可行性.
