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Updated: Jun 28, 2025

Efficient SARS-CoV-2 Quantitative Reverse Transcriptase PCR Saliva Diagnostic Strategy utilizing Open-Source Pipetting Robots
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Published on: February 11, 2022

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一种顺序二次编程方法,用于预测控制COVID-19的传播

Marcelo M Morato1,2, Gulherme N G Dos Reis1, Julio E Normey-Rico1

  • 1Dept. de Automação e Sistemas (DAS), Univ. Fed. de Santa Catarina, Florianópolis-SC, Brazil.

IFAC-PapersOnLine
|April 15, 2024
PubMed
概括

这项研究引入了一个新的模型预测控制 (MPC) 框架来管理COVID-19的传播. 该系统优化了社交距离准则,并预测了未来的疾病趋势,在正在进行的疫苗接种活动中帮助缓解疾病.

关键词:
在 COVID-19 疫情中,线性参数变量系统 线性参数变量系统模型预测控制模型预测控制

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