TY - JOUR JF - joc-isice JO - JoC VL - 14 IS - 5 PY - 2021 Y1 - 2021/2/01 TI - Fuzzy Sliding Mode Controller Design and Analysis of an SQEIAR Epidemic Model for COVID-19 to Determine the Quarantine Rate TT - تحلیل مدل SQEIAR و طراحی کنترل کننده فازی مد لغزشی به منظور تعیین نرخ قرنطینه سازی برای پاندمی کووید-19 N2 - According to the global prevalence of coronavirus (COVID-19) pandemic, mathematical models can predict and control the dynamic behavior of the pandemic. Therefore, in this study, a comprehensive model is considered to examine the trend of COVID-19 based on Susceptible, Exposed, Infected (Symptomatic and Asymptomatic), and Recovered individuals. In the absence of a curative treatment or vaccination campaign, the group of "quarantined people" is added to the model. Then, a positivity analysis of states is examined, and the threshold criterion (R_0) is determined. The equilibrium points (disease-free and endemic) are also calculated, and their stability is investigated using the Jacobin matrix. The quarantine rate is regulated as the only control input using the fuzzy sliding mode controller. The efficiency of the controller is also investigated in the presence of uncertainty in model parameters. Also, the impact of the infected community on other communities, considering the controller, will be examined. Finally, the performance and efficiency of the proposed controller are evaluated. SP - 59 EP - 70 AU - Amiri Mehra, Amir Hossein AU - Shafieirad, Mohsen AU - Abbasi, Zohreh AU - Zamani, Iman AU - Aarabi, Zohreh AD - University of Kashan KW - COVID-19 KW - Mathematical Modeling KW - Stability Analysis KW - Quarantine KW - Fuzzy Sliding Mode. UR - http://joc.kntu.ac.ir/article-1-820-en.html DO - 10.52547/joc.14.5.59 ER -