Based on the theory of fractional differential equations, this paper studied a single-species contraception model with feedback control terms. By comprehensively applying the Mittag-Leffler function construction method, Laplace transform, and stability criteria for fractional-order systems, the existence, uniqueness, boundedness, and local stability of the model's equilibrium points were analyzed, and the key influencing factors of the system's steady-state behavior were identified. Furthermore, the mechanisms of Hopf bifurcation and Turing bifurcation were explored, the sufficient conditions for the existence of these two types of bifurcations were derived, and the theoretical framework for the system's dynamic behavior was improved. A numerical example was designed to verify the validity of the theoretical results, and the simulation results confirmed the correctness of the stability conclusions and bifurcation conditions. In the conclusion section, the numerical simulations were reviewed and correlated with the theory; future research directions were proposed in light of the limitations of the current study, providing references for subsequent explorations.
Citation: Dasen Lin, Ahmadjan Muhammadhaji, Yimamu Maimaiti. Stability and Hopf bifurcation analysis of Caputo time-fractional delayed reaction-diffusion models for sterile insect technology[J]. Networks and Heterogeneous Media, 2025, 20(5): 1437-1465. doi: 10.3934/nhm.2025062
Based on the theory of fractional differential equations, this paper studied a single-species contraception model with feedback control terms. By comprehensively applying the Mittag-Leffler function construction method, Laplace transform, and stability criteria for fractional-order systems, the existence, uniqueness, boundedness, and local stability of the model's equilibrium points were analyzed, and the key influencing factors of the system's steady-state behavior were identified. Furthermore, the mechanisms of Hopf bifurcation and Turing bifurcation were explored, the sufficient conditions for the existence of these two types of bifurcations were derived, and the theoretical framework for the system's dynamic behavior was improved. A numerical example was designed to verify the validity of the theoretical results, and the simulation results confirmed the correctness of the stability conclusions and bifurcation conditions. In the conclusion section, the numerical simulations were reviewed and correlated with the theory; future research directions were proposed in light of the limitations of the current study, providing references for subsequent explorations.
| [1] |
M. Hafeez, F. Ullah, M. M. Khan, X. Li, Z. Zhang, S. Shah et al., Metabolic-based insecticide resistance mechanism and ecofriendly approaches for controlling of beet armyworm Spodoptera exigua: A review, Environ. Sci. Pollut. Res., 29 (2022), 1746–1762. https://doi.org/10.1007/s11356-021-16974-w doi: 10.1007/s11356-021-16974-w
|
| [2] |
R. Anguelov, Y. Dumont, I. V. Yatat Djeumen, Sustainable vector pest control using the permanent sterile insect technique, Math. Methods Appl. Sci., 43 (2020), 10391–10412. https://doi.org/10.1002/mma.6385 doi: 10.1002/mma.6385
|
| [3] |
D. O. Carvalho, R. Morreale, S. Stenhouse, D. A. Hahn, M. Gomez, A. Lloyd, et al., A sterile insect technique pilot trial on Captiva Island: Defining mosquito population parameters for sterile male releases using mark release recapture, Parasites Vectors, 15 (2022), 402. https://doi.org/10.1186/s13071-022-05512-3 doi: 10.1186/s13071-022-05512-3
|
| [4] |
K. Bourtzis, M. J. B. Vreysen, Sterile insect technique (SIT) and its applications, Insects, 12 (2021), 638. https://doi.org/10.3390/insects12070638 doi: 10.3390/insects12070638
|
| [5] |
Q. Li, F. Zhang, X. Feng, W. Wang, K. Wang, The permanence and extinction of the single species with contraception control and feedback controls, Abstr. Appl. Anal., 2012 (2012), 589202. https://doi.org/10.1155/2012/589202 doi: 10.1155/2012/589202
|
| [6] |
S. Li, Y. Maimaiti, Stability and bifurcation analysis of a time-order fractional model for water-plants: Implications for vegetation pattern formation, Math. Comput. Simul., 234 (2025), 342–358. https://doi.org/10.1016/j.matcom.2025.03.007 doi: 10.1016/j.matcom.2025.03.007
|
| [7] |
W. Jiang, H. Wang, X. Cao, Turing instability and Turing-Hopf bifurcation in diffusive Schnakenberg systems with gene expression time delay, J. Dyn. Differ. Equ., 31 (2019), 2223–2247. https://doi.org/10.1007/s10884-018-9702-y doi: 10.1007/s10884-018-9702-y
|
| [8] |
X. Ma, J. Wang, Y. Zhu, Z. Wang, Y. Sun, Turing Hopf bifurcation coinduced by diffusion and delay in Gierer Meinhardt systems, Int. J. Bifurcation Chaos, 34 (2024), 2450162. https://doi.org/10.1142/S0218127424501621 doi: 10.1142/S0218127424501621
|
| [9] |
K. M. Owolabi, A. Atangana, A. Akgul, Modelling and analysis of fractal-fractional partial differential equations: Application to reaction-diffusion model, Alexandria Eng. J., 59 (2020), 2477–2490. https://doi.org/10.1016/j.aej.2020.03.022 doi: 10.1016/j.aej.2020.03.022
|
| [10] |
A. Kapranas, J. Collatz, A. Michaelakis, P. Milonas, Review of the role of sterile insect technique within biologically based pest control an appraisal of existing regulatory frameworks, Entomol. Exp. Appl., 170 (2022), 385–393. https://doi.org/10.1111/eea.13155 doi: 10.1111/eea.13155
|
| [11] |
R. Shi, T. Lu, C. Wang, Dynamic analysis of a fractional-order delayed model for hepatitis B virus with CTL immune response, Virus Res., 277 (2020), 197841. https://doi.org/10.1016/j.virusres.2019.197841 doi: 10.1016/j.virusres.2019.197841
|
| [12] |
S. Raubitzek, K. Mallinger, T. Neubauer, Combining fractional derivatives and machine learning: A review, Entropy, 25 (2022), 35. https://doi.org/10.3390/e25010035 doi: 10.3390/e25010035
|
| [13] |
P. Ghosh, Control of the Hopf-Turing transition by time-delayed global feedback in a reaction-diffusion system, Phys. Rev. E: Stat. Nonlinear Soft Matter Phys., 84 (2011), 016222. https://doi.org/10.1103/PhysRevE.84.016222 doi: 10.1103/PhysRevE.84.016222
|
| [14] |
T. Tian, X. Hou, F. Yan, A new output feedback adaptive control method for fractional order systems with inaccessible state, Chin. J. Phys., 90 (2024), 1046–1056. https://doi.org/10.1016/j.cjph.2024.04.004 doi: 10.1016/j.cjph.2024.04.004
|
| [15] |
A. Makhbouche, B. Boudjehem, I. Birs, C. I. Muresan, Fractional-order PID controller based on immune feedback mechanism for time-delay systems, Fractal Fract., 7 (2023), 53. https://doi.org/10.3390/fractalfract7010053 doi: 10.3390/fractalfract7010053
|
| [16] |
A. Coronel-Escamilla, J. F. Gómez-Aguilar, L. Torres, R. F. Escobar-Jiménez, A numerical solution for a variable-order reaction-diffusion model by using fractional derivatives with non-local and non-singular kernel, Physica A, 491 (2018), 406–424. https://doi.org/10.1016/j.physa.2017.09.014 doi: 10.1016/j.physa.2017.09.014
|
| [17] |
L. Liu, Y. Maimaiti, Spatiotemporal dynamics of nonlocal water-plant models: Insights into the mechanisms of vegetation pattern formation, Adv. Contin. Discrete Models, 2025 (2025), 55. https://doi.org/10.1186/s13662-025-03916-w doi: 10.1186/s13662-025-03916-w
|
| [18] |
X. Tang, A. Muhammadhaji, Dynamics in a fractional-order four-species food web system with top predator and delays, Fractal Fract., 9 (2025), 650. https://doi.org/10.3390/fractalfract9100650 doi: 10.3390/fractalfract9100650
|
| [19] |
H. Zhang, A. Muhammadhaji, Dynamics of a delayed fractional-order predator-prey model with cannibalism and disease in prey, Fractal Fract., 8 (2024), 333. https://doi.org/10.3390/fractalfract8060333 doi: 10.3390/fractalfract8060333
|
| [20] |
C. Xu, Y. Yu, Stability analysis of time delayed fractional order predator-prey system with Crowley-Martin functional response, J. Appl. Anal. Comput., 9 (2019), 928–942. https://doi.org/10.11948/2156-907X.20180175 doi: 10.11948/2156-907X.20180175
|
| [21] |
H. Zhang, A. Muhammadhaji, A delayed fractional-order predator-prey model with three-stage structure and cannibalism for Prey, Fractal Fract., 8 (2024), 492. https://doi.org/10.3390/fractalfract8080492 doi: 10.3390/fractalfract8080492
|
| [22] |
M. M. El-Borai, Some probability densities and fundamental solutions of fractional evolution equations, Chaos, Solitons Fractals, 14 (2002), 433–440. https://doi.org/10.1016/S0960-0779(01)00208-9 doi: 10.1016/S0960-0779(01)00208-9
|
| [23] |
J. Cao, Q. Yang, Z. Huang, Optimal mild solutions and weighted pseudo-almost periodic classical solutions of fractional integro differential equations, Nonlinear Anal. Theory Methods Appl., 74 (2011), 224–234. https://doi.org/10.1016/j.na.2010.08.036 doi: 10.1016/j.na.2010.08.036
|