2021
DOI: 10.1080/07362994.2021.1882312
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Stochastic near-optimal control for drug therapy in a random viral model with cellular immune response

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Cited by 3 publications
(1 citation statement)
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“…For a stochastic model, the nonuniqueness of an existent optimal control is a very challenging problem to explore. Hence, as a feasible possibility, many authors started to explore a near-optimal control problem for epidemic models [14][15][16], viral [17] and chemostat [18] models, where the hypothesizes are weaker. Therefore, we investigate a controlling approach for the following stochastic epidemic model [6] with relapse dS(t) = [µ − µS(t) − βS(t)I(t)]dt − σS(t)I(t)dB(t), dI(t) = [βS(t)I(t) − (µ + λ)I(t) + ρR(t)]dt + σS(t)I(t)dB(t)…”
Section: Introductionmentioning
confidence: 99%
“…For a stochastic model, the nonuniqueness of an existent optimal control is a very challenging problem to explore. Hence, as a feasible possibility, many authors started to explore a near-optimal control problem for epidemic models [14][15][16], viral [17] and chemostat [18] models, where the hypothesizes are weaker. Therefore, we investigate a controlling approach for the following stochastic epidemic model [6] with relapse dS(t) = [µ − µS(t) − βS(t)I(t)]dt − σS(t)I(t)dB(t), dI(t) = [βS(t)I(t) − (µ + λ)I(t) + ρR(t)]dt + σS(t)I(t)dB(t)…”
Section: Introductionmentioning
confidence: 99%