In this study, the finite-time stability of the time-delay system representing the COVID-19 outbreak is analyzed. The infection dynamics is stated with the new kernel function to express the distribution of exposed people in the model. A history-wise Lyapunov functional is used to show the finite-time stability of the proposed system. A condition in terms of linear matrix inequalities is given to ensure finite-time stability. With this condition, it is guaranteed that the norm of the variables which are infected, confirmed, isolated and cured/recovered people do not exceed a certain bound in a fixed finite time interval. The solution of the generalized minimum/maximum parameters is explained and a numerical example is demonstrated to show the validity of the proposed method.
Finite-time stability time-delay systems infection dynamics COVID-19
Birincil Dil | İngilizce |
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Bölüm | Articles |
Yazarlar | |
Yayımlanma Tarihi | 25 Aralık 2020 |
Yayımlandığı Sayı | Yıl 2020 Cilt: 9 Sayı: 3 |
EBSCO |
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