This work is focused on the multilevel control of the population confinement in the city of Buenos Aires and its surroundings due to the pandemic generated by the COVID-19 outbreak. The model used here is known as SEIRD and two objectives are sought: a time-varying identification of the infection rate and the inclusion of a controller. A control differential equation has been added to regulate the transitions between confinement and normal life, according to five different levels. The plasma treatment from recovered patients has also been considered in the control algorithm. Using the proposed strategy the ICU occupancy is reduced, and as a consequence, the number of deaths is also decreased.

这项工作的重点是对布宜诺斯艾利斯市及其周边地区因 COVID-19 爆发产生的大流行而导致的人口限制进行多层次控制。这里使用的模型称为 SEIRD，并寻求两个目标：感染率的时变识别和包含控制器。增加了一个控制微分方程，以根据五个不同的级别来调节监禁和正常生活之间的过渡。在控制算法中也考虑了来自康复患者的血浆治疗。使用建议的策略减少了 ICU 的占用率，因此，死亡人数也减少了。