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Sliding mode control-based analysis of a time-delay HIV dynamic model | ||
| Journal of Mathematical Modeling | ||
| مقالات آماده انتشار، اصلاح شده برای چاپ، انتشار آنلاین از تاریخ 25 اردیبهشت 1405 اصل مقاله (834.8 K) | ||
| نوع مقاله: Research Article | ||
| شناسه دیجیتال (DOI): 10.22124/jmm.2026.32402.2937 | ||
| نویسندگان | ||
| Mohammad Ghamgosar1؛ Seyed Mehdi Mirhosseini-Alizamini* 2؛ Violet Farhad3 | ||
| 1Academic Center for Education. Cultural and Research (ACCECR), Rasht, Iran. | ||
| 2Department of Mathematics, Payame Noor University (PNU), Tehran, Iran | ||
| 3Department of Mathematics, Payame Noor University (PNU), Tehran, Iran. | ||
| چکیده | ||
| In this paper, a sliding mode control strategy is developed for a biologically realistic fourth-order HIV infection model with explicit time delay. The model captures the effects of intracellular delay and virus production rate on the dynamics of healthy CD4+ T cells, infected cells, and free viral particles. A sliding mode controller is designed for all system states, and a rigorous finite-time convergence analysis is provided using Lyapunov theory. It is analytically shown that the proposed control law guarantees convergence of the system trajectories to the sliding surface in finite time, despite the presence of time delays and parameter uncertainties. Numerical simulations conducted under various delay values and virus production rates demonstrate that increasing delay and viral replication adversely affect system stability and may lead to divergence beyond a critical delay threshold. In contrast, the proposed controller effectively suppresses oscillations and enforces rapid convergence of the system states. These results confirm the robustness and effectiveness of the proposed sliding mode control framework for delayed HIV dynamics. | ||
| کلیدواژهها | ||
| Stability؛ time Delay؛ sliding mode control؛ HIV infection | ||
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