时滞后向EM法下混合中立型随机时滞微分方程的数值解
The Backward Euler-Maruyama Methodwith Time Delay for the NumericalSolutions of Hybrid Neutral StochasticDifferential Delay Equations
摘要: 本文主要研究中立型随机时滞微分方程数值解的近似问题。据目前已有成果来看,有关后向 EM 法,在滞后因子控制领域内的研究还存在空缺。因此,本文基于一类带时滞控制的向后 EM 法, 对中立型随机时滞微分方程数值解的近似问题展开研究,并基于系统的指数稳定性,验证了本文 所给控制系统中近似解的存在性及合理性。
Abstract: This paper mainly focuses on the approximation problem of numerical solutions for neutral stochastic delay differential equations (NSDDEs). Based on current research results, there is still a gap in the study of the backward Euler-Maruyama (BEM) method in the field of delay factor control. Therefore, based on the BEM method with delay control systems, this paper investigates the approximation problem of numerical solutions for neutral stochastic delay differential equations, and verifies the existence and rationality of the approximate solutions in the control system considered in this paper.
参考文献
|
[1]
|
Mei, C., Fei, C., Fei, W. and Mao, X. (2021) Exponential Stabilization by Delay Feedback
Control for Highly Nonlinear Hybrid Stochastic Functional Differential Equations with Infinite
Delay. Nonlinear Analysis: Hybrid Systems, 40, Article 101026.[CrossRef]
|
|
[2]
|
Wang, B. and Zhu, Q. (2017) Stability Analysis of Markov Switched Stochastic Differential
Equations with Both Stable and Unstable Subsystems. Systems & Control Letters, 105, 55-61.[CrossRef]
|
|
[3]
|
Zhao, Y. and Zhu, Q. (2022) Stability of Highly Nonlinear Neutral Stochastic Delay Systems
with Non-Random Switching Signals. Systems & Control Letters, 165, Article 105261.[CrossRef]
|
|
[4]
|
Li, X., Liu, W., Wang, Y. and Wu, R. (2023) Stability in the Small Moment Sense of the
Backward Euler-Maruyama Method for Stochastic Differential Equations with Super-Linear
Coefficients. Applied Mathematics Letters, 139, Article 108543.[CrossRef]
|
|
[5]
|
Milstein, G.N. and Tretyakov, M.V. (2004) Stochastic Numerics for Mathematical Physics,
Vol. 456. Springer.
|
|
[6]
|
Higham, D.J., Mao, X. and Yuan, C. (2007) Almost Sure and Moment Exponential Stability
in the Numerical Simulation of Stochastic Differential Equations. SIAM Journal on Numerical
Analysis, 45, 592-609.[CrossRef]
|
|
[7]
|
Liu, W., Mao, X. and Wu, Y. (2023) The Backward Euler-Maruyama Method for Invariant
Measures of Stochastic Differential Equations with Super-Linear Coefficients. Applied Numerical
Mathematics, 184, 137-150.[CrossRef]
|