Control Design and Stability Analysis of a Two-Infectious-State Awareness Epidemic Model
- Resource Type
- Conference
- Authors
- Li, Zhixun; Hong, Jie; Kim, Jonghyuk; Yu, Changbin
- Source
- 2019 12th Asian Control Conference (ASCC) Control Conference (ASCC), 2019 12th Asian. :704-709 Jun, 2019
- Subject
- Aerospace
Bioengineering
Communication, Networking and Broadcast Technologies
Components, Circuits, Devices and Systems
Computing and Processing
General Topics for Engineers
Nuclear Engineering
Power, Energy and Industry Applications
Robotics and Control Systems
Signal Processing and Analysis
Transportation
Diseases
Control design
State feedback
Stability analysis
Analytical models
Medical treatment
Simulation
- Language
This paper focuses on the control design and stability analysis of an awareness Susceptible-Exposed-Infected-Vigilant (SEIV) epidemic system which has two infectious states over arbitrary directed networks. A state feedback controller is firstly applied to the generalized SEIV model with human awareness, and explores the medical treatment usage against the epidemic propagation. After applying the control scheme into the epidemic system, the epidemic threshold condition is found to guarantee the exponential stability of the system. Simulation results are illustrated to verify the threshold condition as well as the performance of the control design which is able to reduce the epidemic outbreak and effectively inhibiting the epidemic dissemination.