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Nonlinear Control of Hopf Bifurcation Type in the Rulkov Map Model: Analytical and Numerical Study | ||
| Caspian Journal of Mathematical Sciences | ||
| مقالات آماده انتشار، پذیرفته شده، انتشار آنلاین از تاریخ 20 آبان 1405 | ||
| نوع مقاله: Research Articles | ||
| شناسه دیجیتال (DOI): 10.22080/cjms.2026.31672.1845 | ||
| نویسندگان | ||
| Alireza Zamani Bahabadi* 1؛ Masoumeh Salehi Yekta2؛ Ghasem Sadeghi Bajestani3 | ||
| 1Department of Pure Mathematics, Ferdowsi University of Mashhad, Mashhad, Iran. | ||
| 2Department of Mathematics, Ferdowsi University of Mashhad, Iran | ||
| 3Department of Medical Engineering, Imam Reza International University, Mashhad, Iran | ||
| تاریخ دریافت: 14 اردیبهشت 1405، تاریخ بازنگری: 01 تیر 1405، تاریخ پذیرش: 15 شهریور 1405 | ||
| چکیده | ||
| Changing the bifurcation type is an important approach for controlling the qualitative behavior of nonlinear dynamical systems. In this paper, a nonlinear washout filter controller is proposed to modify the type of Hopf bifurcation in the Rulkov map model. By introducing the controller, the original system is transformed into a three-dimensional discrete-time dynamical system. The center manifold theory and normal form theory are employed to derive the reduced dynamics near the bifurcation point and to analytically determine the influence of the control gain on the Hopf bifurcation characteristics. The analytical results show that the proposed controller modifies the first Lyapunov coefficient and can change the Hopf bifurcation from subcritical to supercritical through an appropriate selection of the control parameter. Consequently, the stability properties of the invariant Hopf circle are altered, leading to the suppression of undesirable oscillatory behavior. Numerical simulations, including phase spaces and time-series responses, confirm the theoretical predictions and demonstrate excellent agreement with the analytical results. The results demonstrate that the proposed control method is effective for regulating bifurcation behavior and stabilizing the dynamics of the Rulkov neuron model. This approach may provide useful insights into the suppression of abnormal oscillations in discrete-time neuronal systems. | ||
| کلیدواژهها | ||
| Rulkov map model؛ Discrete-time system؛ Washout filter؛ Control of Hopf bifurcation؛ Normal form | ||
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