2025/11/15 by Marius Bargo, Bargo, Marius, Yacouba Simporé +1
Medicine · Neuroscience · #Mathematical and Theoretical Epidemiology and Ecology Models #Neurobiology and Insect Physiology Research #Mosquito-borne diseases and control
paper · pdf · doi:10.48550/arxiv.2511.12289
This paper presents an age-structured, non-autonomous logistic model describing the aquatic and adult stages of the dynamics of malaria-vector mosquitoes. We propose a biological control strategy targeting the aquatic compartment and implement a tracking control for its emergence. A feedback control law guarantees stabilization of the emergent population density, specifically the global asymptotic stability of the logistic model. Additionally, a feedforward controller combined with feedback is introduced to steer the emergent density toward a time-varying reference trajectory. The analytical findings are corroborated and illustrated by numerical simulations.