arXivDaily arXiv每日学术速递 周一至周五更新
arXiv 2004.03638math.OC
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耦合ODE-PDE系统的对偶性与$H_{\infty}$ -最优控制

Duality and $H_{\infty}$-Optimal Control Of Coupled ODE-PDE Systems

Sachin Shivakumar, Amritam Das, Siep Weiland, Matthew M. Peet

摘要:

本文给出了一维耦合线性常微分方程-偏微分方程系统的$H_{\infty}$ -最优控制问题的凸形式。首先,我们将耦合ODE-PDE系统转化为一个部分积分方程(PIE)系统,并证明了PIE系统的稳定性和$H_{\infty}$性能暗示了ODE-PDE系统的稳定性和性能。然后我们构造了一个对偶PIE系统,并证明了对偶系统的渐近稳定性和$H_{\infty}$性能与原PIE系统是等价的。接下来,我们提出了一个凸对偶制定的稳定性和$H_{\infty}$性能问题,使用线性PI不等式(LPI)的框架。LPI是LMI到部分积分(PI)算子的推广,可以使用MATLAB工具箱PIETOOLS求解。接下来,我们使用我们的对偶结果制定的稳定和$H_{\infty}$ -最优状态-反馈控制问题的LPIs。最后,我们通过构造几个数值例子的控制器来说明算法的准确性和可扩展性。

英文摘要:

In this paper, we present a convex formulation of $H_{\infty}$-optimal control problem for coupled linear ODE-PDE systems with one spatial dimension. First, we reformulate the coupled ODE-PDE system as a Partial Integral Equation (PIE) system and show that stability and $H_{\infty}$ performance of the PIE system implies that of the ODE-PDE system. We then construct a dual PIE system and show that asymptotic stability and $H_{\infty}$ performance of the dual system is equivalent to that of the primal PIE system. Next, we pose a convex dual formulation of the stability and $H_{\infty}$-performance problems using the Linear PI Inequality (LPI) framework. LPIs are a generalization of LMIs to Partial Integral (PI) operators and can be solved using PIETOOLS, a MATLAB toolbox. Next, we use our duality results to formulate the stabilization and $H_{\infty}$-optimal state-feedback control problems as LPIs. Finally, we illustrate the accuracy and scalability of the algorithms by constructing controllers for several numerical examples.

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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