Abstract
Delays caused by the incubation period of an infectious disease are inevitable in modeling the spreading of a real epidemic. With this in mind, our note proposes a novel discrete-time networked susceptible-infected-susceptible (SIS) epidemic model with delays. In this model, the independent edge-based time delay in the network is time-varying and heterogeneous. To prove the asymptotic stability of the model, a super-stochastic matrix based method is proposed to analyze the convergence of an infinite product. By using this method, a sufficient algebraic condition for the convergence of the model to the disease-free equilibrium point is established. The theoretical results obtained are verified by numerical simulations.
| Original language | English |
|---|---|
| Pages (from-to) | 2289-2294 |
| Number of pages | 6 |
| Journal | IEEE Control Systems Letters |
| Volume | 8 |
| DOIs | |
| State | Published - 2024 |
| Externally published | Yes |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
Keywords
- Networked epidemics
- discrete-time dynamics
- time-varying heterogeneous delays
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