Veisi Amir, Delavari Hadi
Department of Electrical Engineering Hamedan University of Technology Hamedan Iran.
Math Methods Appl Sci. 2022 May 15;45(7):3479-3496. doi: 10.1002/mma.7994. Epub 2021 Nov 28.
The coronavirus disease (COVID-19) pandemic has impacted many nations around the world. Recently, new variant of this virus has been identified that have a much higher rate of transmission. Although vaccine production and distribution are currently underway, non-pharmacological interventions are still being implemented as an important and fundamental strategy to control the spread of the virus in countries around the world. To realize and forecast the transmission dynamics of this disease, mathematical models can be very effective. Various mathematical modeling methods have been proposed to investigate the transmission patterns of this new infection. In this paper, we utilized the fractional-order dynamics of COVID-19. The goal is to control the prevalence of the disease using non-pharmacological interventions. In this paper, a novel fractional-order backstepping sliding mode control (FOBSMC) is proposed for non-pharmacological decisions. Recently, new variant of this virus have been identified that have a much higher rate of transmission, so finally the effectiveness of the proposed controller in the presence of new variant of COVID-19 is investigated.
冠状病毒病(COVID-19)大流行已经影响了世界上许多国家。最近,已发现这种病毒的新变种,其传播率要高得多。尽管目前正在进行疫苗生产和分发,但非药物干预措施仍作为控制该病毒在世界各国传播的一项重要且基本的策略在实施。为了认识和预测这种疾病的传播动态,数学模型可能非常有效。已经提出了各种数学建模方法来研究这种新感染的传播模式。在本文中,我们利用了COVID-19的分数阶动力学。目标是使用非药物干预措施来控制疾病的流行率。本文针对非药物决策提出了一种新颖的分数阶反步滑模控制(FOBSMC)。最近,已发现这种病毒的新变种,其传播率要高得多,因此最后研究了所提出的控制器在存在COVID-19新变种情况下的有效性。