2018
DOI: 10.1002/oca.2482
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Optimal control of a delayed SIRC epidemic model with saturated incidence rate

Abstract: In this paper, we present a susceptible-infected-recovered cross-immune (SIRC) epidemic model, which describes Influenza A and analyzes the SIRC epidemic model through the optimal control theory and mathematical analysis. We show the existence of an optimal control pair for the optimal control problem by using Pontryagin's maximum principle with delay and derive the optimality condition.Finally, numerical simulation is carried out to verify our theoretical results. KEYWORDS optimal control, saturated incidence… Show more

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Cited by 15 publications
(11 citation statements)
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“…In this section, we aim to minimize the accumulative errors within the limitation of actuator saturation based on Pontryagin's maximum principle with delay [3,16].…”
Section: Optimal Linear Feedback Controllermentioning
confidence: 99%
“…In this section, we aim to minimize the accumulative errors within the limitation of actuator saturation based on Pontryagin's maximum principle with delay [3,16].…”
Section: Optimal Linear Feedback Controllermentioning
confidence: 99%
“…with x S (x T ) given by ( 24) or (25), according to the corresponding case. Notice that, thanks to Lemma 3, the argument of log | • | in (70) is always nonnegative.…”
Section: A Appendixmentioning
confidence: 99%
“…For this purpose, we use one of the simplest epidemiological models, which is the SIS (susceptible-infected-susceptible) model, for representing a disease dynamics inside the prison. We work with this model, because our aim is to provide analytically the complete synthesis of an optimal feedback control, rather than numerically solving the optimization problem, as can be found in the literature, in the context of epidemics control, for more complex models (see for instance [25,37,38]). An analytical solution has the advantage of providing useful information about properties of the optimal strategies, and on the impact of some parameters in these strategies, which can then be tested in more realistic models.…”
Section: Introductionmentioning
confidence: 99%
“…The problem, then, is how to incorporate such measures from an optimal point of view. Recently, many notable attempts have been made to implement various research for different types of integer compartmental model [10] , [11] , [12] , [13] , [14] , [15] . Several mathematical models and non-mathematical findings have also been performed on COVID-19 as shown by most recent researchers in [16] , [17] , [18] , [19] , [20] , [21] , [22] , [23] , [24] , [25] , [26] , [27] , [28] , [29] .…”
Section: Introductionmentioning
confidence: 99%