Optimal control and the value of information for a stochastic epidemiological SIS-model

DOI10.1016/j.jmaa.2019.04.005zbMath1414.49031OpenAlexW2926203989WikidataQ128064608 ScholiaQ128064608MaRDI QIDQ2633873

Raimund M. Kovacevic, Peter Grandits, Vladimir M. Veliov

Publication date: 10 May 2019

Published in: Journal of Mathematical Analysis and Applications (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jmaa.2019.04.005

zbMATH Keywords

optimal controlHamilton-Jacobi-Bellman equationFokker-Planck equationstochastic differential equationsepidemiologySIS models

Mathematics Subject Classification ID

Epidemiology (92D30) Optimality conditions for problems involving randomness (49K45) Variational principles of physics (49S05)

Related Items (7)

Second-order analysis of Fokker–Planck ensemble optimal control problems ⋮ Optimal control and numerical methods for hybrid stochastic SIS models ⋮ A stochastic gradient method for a class of nonlinear PDE-constrained optimal control problems under uncertainty ⋮ Modelling optimal control of air pollution to reduce respiratory diseases ⋮ Stochastic contagion models without immunity: their long term behaviour and the optimal level of treatment ⋮ Random perturbations in a mathematical model of bacterial resistance: analysis and optimal control ⋮ Finite-time stability and optimal control of an impulsive stochastic reaction-diffusion vegetation-water system driven by Lévy process with time-varying delay

Uses Software

• KELLEY

Cites Work

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