Riccati-based solution to the optimal control of linear evolution equations with finite memory

IF 16.4 1区 化学 Q1 CHEMISTRY, MULTIDISCIPLINARY
P. Acquistapace, F. Bucci
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引用次数: 0

Abstract

In this article we study the optimal control problem with quadratic functionals for a linear Volterra integro-differential equation in Hilbert spaces. With the finite history seen as an (additional) initial datum for the evolution, following the variational approach utilized in the study of the linear-quadratic problem for memoryless infinite dimensional systems, we attain a closed-loop form of the unique optimal control via certain operators that are shown to solve a coupled system of quadratic differential equations. This result provides a first extension to the partial differential equations realm of the Riccati-based theory recently devised by L. Pandolfi in a finite dimensional context.
有限记忆线性演化方程最优控制的riccati解
本文研究了Hilbert空间中一类线性Volterra积分微分方程的二次泛函最优控制问题。将有限历史视为演化的(附加的)初始数据,遵循无记忆无限维系统线性二次问题研究中使用的变分方法,我们通过某些算子获得了唯一最优控制的闭环形式,这些算子被证明可以解决二次微分方程耦合系统。这一结果为L. Pandolfi最近在有限维环境下提出的基于riccati的偏微分方程理论领域提供了第一个扩展。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Accounts of Chemical Research
Accounts of Chemical Research 化学-化学综合
CiteScore
31.40
自引率
1.10%
发文量
312
审稿时长
2 months
期刊介绍: Accounts of Chemical Research presents short, concise and critical articles offering easy-to-read overviews of basic research and applications in all areas of chemistry and biochemistry. These short reviews focus on research from the author’s own laboratory and are designed to teach the reader about a research project. In addition, Accounts of Chemical Research publishes commentaries that give an informed opinion on a current research problem. Special Issues online are devoted to a single topic of unusual activity and significance. Accounts of Chemical Research replaces the traditional article abstract with an article "Conspectus." These entries synopsize the research affording the reader a closer look at the content and significance of an article. Through this provision of a more detailed description of the article contents, the Conspectus enhances the article's discoverability by search engines and the exposure for the research.
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