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基于边界采样控制的随机反应扩散系统稳定性OA

Stability of Stochastic Reaction-Diffusion Systems via Boundary Sampled-Data Control

中文摘要英文摘要

利用边界采样控制讨论了随机反应扩散系统(stochastic reaction-diffusion system,SRDS)稳定性问题.当系统状态可以全部获取时,设计了一个边界采样控制器(boundary sampling controller,BSC),构建了与采样间隔相关的分段不连续 Lyapunov 函数.对于 SRDS,利用空间积分型 Wirtinger 不等式和同构离散变换,得到了矩阵不等式形式的均方指数稳定和鲁棒均方指数稳定的充分条件.当系统状态无法完全获得时,提出了一种基于观测器的边界采样控制策略,分别得到了系统均方指数稳定和鲁棒均方指数稳定的研究结果.最后,通过三个数值例子验证了所提方法的可行性.

The stability of stochastic reaction-diffusion systems under boundary sampling control was dis-cussed.With the fully accessible system state,a boundary sampled-data controller was proposed,and a piece-wise discontinuous Lyapunov function related to the sampling interval was constructed.For stochastic reaction-diffusion systems,sufficient conditions for mean-square exponential stability,both in nominal and robust set-tings,were obtained with the Wirtinger inequality for spatial integrals and isomorphic discrete transformations,in the form of matrix inequalities.With the not fully accessible system state,an observer-based boundary sam-pled-data control strategy was proposed,and results for the mean-square exponential stability and the robust mean-square exponential stability of the system were obtained,respectively.Finally,the feasibility of the pro-posed methods was demonstrated through 3 numerical examples.

王云竹

浙大城市学院 理学基础教育中心,杭州 310015

数理科学

边界采样控制稳定性随机反应扩散系统观测器

boundary sampled-data controlstabilitystochastic reaction-diffusion systemobserver

《应用数学和力学》 2026 (4)

468-486,19

10.21656/1000-0887.450309

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