Stochastic stabilisation of functional differential equations

被引:136
作者
Appleby, JAD
Mao, XR [1 ]
机构
[1] Univ Strathclyde, Dept Stat & Modelling Sci, Glasgow G1 1XH, Lanark, Scotland
[2] Dublin City Univ, Sch Math Sci, Dublin 9, Ireland
关键词
Brownian motion; exponential stability; Ito's formula; stabilisation;
D O I
10.1016/j.sysconle.2005.03.003
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 [计算机科学与技术];
摘要
In this paper we investigate the problem of stochastic stabilisation for a general nonlinear functional differential equation. Given an unstable functional differential equation dx(t)/dt = f (t, x(1)), we stochastically perturb it into a stochastic functional differential equation dX(t)=f (t, X-t) dt+Sigma X(t) dB(t), where Sigma is a matrix and B(t) a Brownian motion while X-t = {X(t+0) : -tau <= 0 <= 0}. Under the condition that f satisfies the local Lipschitz condition and obeys the one-side linear bound, we show that if the time lag tau is sufficiently small, there are many matrices Sigma for which the stochastic functional differential equation is almost surely exponentially stable while the corresponding functional differential equation dx(t)/dt = f(t, x(t)) may be unstable. (c) 2005 Elsevier B.V. All rights reserved.
引用
收藏
页码:1069 / 1081
页数:13
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