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arXiv 2011.14556math.AP
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二维Kuramoto-Sivashinsky方程的采样控制

Sampled-data control of 2D Kuramoto-Sivashinsky equation

Wen Kang, Emilia Fridman

摘要:

研究了矩形区域上二维Kuramoto-Sivashinsky方程的采样控制问题。我们建议将二维矩形划分为N个子域,其中传感器提供空间平均或点状态测量,通过通信网络传输到控制器。注意,与2D热方程不同,这里我们在点测量下使用采样数据控制。通过空间分布特征函数设计了一种区域镇定控制器。以线性矩阵不等式的形式给出了保证闭环系统区域稳定的充分条件。通过求解这些线性矩阵不等式,我们找到了一个估计的初始条件,从该系统的状态轨迹是指数收敛到零。数值算例验证了结果的有效性。

英文摘要:

This paper addresses sampled-data control of 2D Kuramoto-Sivashinsky equation over a rectangular domain. We suggest to divide the 2D rectangular into N sub-domains, where sensors provide spatially averaged or point state measurements to be transmitted through communication network to the controller. Note that differently from 2D heat equation, here we manage with sampled-data control under point measurements. We design a regionally stabilizing controller applied through distributed in space characteristic functions. Sufficient conditions ensuring regional stability of the closed-loop system are established in terms of linear matrix inequalities (LMIs). By solving these LMIs, we find an estimate on the set of initial conditions starting from which the state trajectories of the system are exponentially converging to zero. A numerical example demonstrates the efficiency of the results.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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