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arXiv 2604.03399math.OCcs.SYeess.SY
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线性PDE的脉冲到峰值输出范数最优状态反馈控制

Impulse-to-Peak-Output Norm Optimal State-Feedback Control of Linear PDEs

Clemson University(克莱姆森大学);Los Alamos National Laboratory(洛斯阿拉莫斯国家实验室)

Tristan Thomas, Sachin Shivakumar, Javad Mohammadpour Velni

AI总结:

利用偏积分方程(PIE)框架和Lyapunov方法,将线性PDE的脉冲到峰值(I2P)响应分析转化为可解的凸优化问题,并通过强对偶性建立I2P最优状态反馈控制的设计方法。

摘要:

脉冲到峰值响应(I2P)分析对于状态空间常微分方程(ODE)系统是一个研究充分的经典问题。然而,由于缺乏通用的传递函数和状态空间表示,用于ODE的I2P最优控制技术尚未扩展到偏微分方程(PDE)系统。但最近,偏积分方程(PIE)表示被提出作为PDE所需的状态空间表示,并利用Lyapunov稳定性理论解决了各种控制问题,如稳定性和最优${H}_\infty$控制。本文利用这一PIE框架及相关的Lyapunov技术,将I2P响应分析问题表述为可解的凸优化问题,并获得线性PDE的I2P范数的可证明界。此外,通过建立原始优化问题与对偶问题之间的强对偶性,我们开发了一种用于PDE的I2P最优状态反馈控制的构造性方法,并通过多个示例证明了该方法的有效性。

英文摘要:

Impulse-to-peak response (I2P) analysis for state-space ordinary differential equation (ODE) systems is a well-studied classical problem. However, the techniques employed for I2P optimal control of ODEs have not been extended to partial differential equation (PDE) systems due to the lack of a universal transfer function and state-space representation. Recently, however, partial integral equation (PIE) representation was proposed as the desired state-space representation of a PDE, and Lyapunov stability theory was used to solve various control problems, such as stability and optimal ${H}_\infty$ control. In this work, we utilize this PIE framework, and associated Lyapunov techniques, to formulate the I2P response analysis problem as a solvable convex optimization and obtain provable bounds for the I2P-norm of linear PDEs. Moreover, by establishing strong duality between primal and dual formulations of the optimization problem, we develop a constructive method for I2P optimal state-feedback control of PDEs and demonstrate the effectiveness of the method on various 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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