具有边界控制的三阶动力学非标准ARE的Riccati算子的唯一性

Q4 Engineering
I. Lasiecka, R. Triggiani
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引用次数: 2

摘要

摘要考虑Moore-Gibson-Thompson [MGT]动力学。在声波传播的背景下,随着高频超声技术的应用,这种第三阶的时间演变出现了。构造了最优边界反馈控制以实现在线调节。上述要求相关的代数Riccati方程具有适定性。Lasiecka和Triggiani(2022)的论文最近对无限时间范围内具有边界控制的mgt -三阶动力学的最优控制问题进行了全面研究。这种研究的一个关键缺失点是相应的高度非标准代数Riccati方程的唯一性问题(在特定类内)。本文从正面解决了这一问题,从而完成了Lasiecka和Triggiani(2022)的研究,其最终目标是实现在线反馈控制,这也是最优的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Uniqueness of the Riccati operator of the non-standard ARE of a third order dynamics with boundary control
Abstract The Moore-Gibson-Thompson [MGT] dynamics is considered. This third order in time evolution arises within the context of acoustic wave propagation with applications in high frequency ultrasound technology. The optimal boundary feedback control is constructed in order to have on-line regulation. The above requires wellposedness of the associated Algebraic Riccati Equation. The paper by Lasiecka and Triggiani (2022) recently contributed a comprehensive study of the Optimal Control Problem for the MGT-third order dynamics with boundary control, over an infinite time-horizon. A critical missing point in such a study is the issue of uniqueness (within a specific class) of the corresponding highly non-standard Algebraic Riccati Equation. The present note resolves this problem in the positive, thus completing the study of Lasiecka and Triggiani (2022) with the final goal of having on line feedback control, which is also optimal.
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来源期刊
Control and Cybernetics
Control and Cybernetics 工程技术-计算机:控制论
CiteScore
0.50
自引率
0.00%
发文量
0
期刊介绍: The field of interest covers general concepts, theories, methods and techniques associated with analysis, modelling, control and management in various systems (e.g. technological, economic, ecological, social). The journal is particularly interested in results in the following areas of research: Systems and control theory: general systems theory, optimal cotrol, optimization theory, data analysis, learning, artificial intelligence, modelling & identification, game theory, multicriteria optimisation, decision and negotiation methods, soft approaches: stochastic and fuzzy methods, computer science,
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