李雅普诺夫方程解的扩散实现及并行算法的实现

Huu-Quan Do, M. Lenczner, R. Couturier, Y. Yakoubi
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引用次数: 0

摘要

在前人的研究中,提出了一类线性算子状态实现的扩散实现理论框架。这是一类一维有界域线性算子微分方程的解。他们举例说明了由热方程的最优控制理论产生的李雅普诺夫方程的理论。理论上,他们的方法对于实时计算可能是非常有效的,但是它有很强的局限性。在这里,我们提出了显著的改进并报告了数值结果。提出了一种轮廓优化方法。它是基于对解的理论误差估计。最后,我们讨论了在不同的并行计算机拓扑上实现该方法的预期增益。设想的应用程序用于分布式计算体系结构上的实时分布式控制。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Diffusive Realization of a Lyapunov Equation Solution, and Parallel Algorithms Implementation
In a previous work, a theoretical framework of diffusive realization for state-realizations of some linear operators have been developed. Those are solutions to certain linear operator differential equations posed in one-dimensional bounded domains. They illustrate the theory on a Lyapunov equation arising from optimal control theory of the heat equation. In principle their method might be very efficient for real-time computation, however it is suffering from strong limitations. Here, we present significant improvements and report numerical results. A method of contour optimization is provided. It is based on a theoretical error estimate of the solution. Finally, we discuss expected gains if the method is implemented on different parallel computer topologies. The envisioned applications are for real-time distributed control on distributed computing architectures.
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