在sir型系统中将NMPC转换为流行病学和社会经济控制目标

IF 7.3 2区 计算机科学 Q1 AUTOMATION & CONTROL SYSTEMS
J.E. Sereno , A. D’Jorge , A. Ferramosca , E.A. Hernandez-Vargas , A.H. González
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引用次数: 0

摘要

最近已经制定了几种最佳控制策略,以最大限度地减少感染高峰流行率或流行病的最终规模。尽管这两个指标对于评估任何旨在通过非药物措施缓解疫情的控制政策都至关重要,但它们通常是单独考虑的,一般来说,关于如何以简单而现实的方式同时处理它们(即,考虑控制行动的局限性,避免新的感染或再感染周期,考虑副作用等),尚未达成共识。在此,基于SIR型模型的理论动力学分析,提出了一种现实的非线性模型预测控制策略。除了最小化流行病的最终规模并将感染高峰流行率保持在既定值以下外,控制器还考虑了反馈的不确定性和不同的执行器约束,例如有限数量的社交距离政策,这些政策可以在最小和最大的时间间隔内保持有效。考虑不同SIR类型模型的几次模拟说明了该方案的优点。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Switched NMPC for epidemiological and social-economic control objectives in SIR-type systems
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来源期刊
Annual Reviews in Control
Annual Reviews in Control 工程技术-自动化与控制系统
CiteScore
19.00
自引率
2.10%
发文量
53
审稿时长
36 days
期刊介绍: The field of Control is changing very fast now with technology-driven “societal grand challenges” and with the deployment of new digital technologies. The aim of Annual Reviews in Control is to provide comprehensive and visionary views of the field of Control, by publishing the following types of review articles: Survey Article: Review papers on main methodologies or technical advances adding considerable technical value to the state of the art. Note that papers which purely rely on mechanistic searches and lack comprehensive analysis providing a clear contribution to the field will be rejected. Vision Article: Cutting-edge and emerging topics with visionary perspective on the future of the field or how it will bridge multiple disciplines, and Tutorial research Article: Fundamental guides for future studies.
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