This paper is aimed at designing a robust vaccination strategy capable of eradicating an infectious disease from a population regardless of the potential uncertainty in the parameters defining the disease. For this purpose, a control theoretic approach based on a sliding-mode control law is used. Initially, the controller is designed assuming certain knowledge of an upper-bound of the uncertainty signal. Afterwards, this condition is removed while an adaptive sliding control system is designed. The closed-loop properties are proved mathematically in the nonadaptive and adaptive cases. Furthermore, the usual sign function appearing in the sliding-mode control is substituted by the saturation function in order to prevent chattering. In addition, the properties achieved by the closed-loop system under this variation are also stated and proved analytically. The closed-loop system is able to attain the control objective regardless of the parametric uncertainties of the model and the lack of a priori knowledge on the system. ; This work was partially supported by the Spanish Ministry of Economy and Competitiveness through Grant no. DPI2012-30651, the Basque Government (Gobierno Vasco) through Grant no. IE378-10, and by the University of the Basque Country through Grant no. UFI 11/07.
Robust Sliding Control of SEIR Epidemic Models
01.01.2014
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
DDC: | 629 |
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