Stability and Hopf bifurcation analysis for the hypothalamic-pituitary-adrenal axis model with memory
Eva Kaslik1,2, Mihaela Neamtu3,4
1Department of Mathematics and Computer Science, West University of Timişoara, Romania.
Abstract:
This article generalizes the existing minimal model of the hypothalamic-pituitary-adrenal (HPA) axis in a realistic way, by including memory terms: distributed time delays, on one hand and fractional-order derivatives, on the other hand. The existence of a unique equilibrium point of the mathematical models is proved and a local stability analysis is undertaken for the system with general distributed delays. A thorough bifurcation analysis for the distributed delay model with several types of delay kernels is provided. Numerical simulations are carried out for the distributed delays models and for the fractional-order model with discrete delays, which substantiate the theoretical findings. It is shown that these models are able to capture the vital mechanisms of the HPA system.
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