journal article·2025-02-01Open access

Finite-time control of the discrete Sel’kov–Schnakenberg model: Synchronization and simulations

Hussein Al-Taani, Ma’mon Abu Hammad, Omar Alomari, Issam Bendib, Adel Ouannas

AIP Advances· Volume 15· Issue 2

Abstract

This study investigates the finite-time synchronization (FT-sync) of the Selkov–Schnakenberg reaction–diffusion system, utilizing Lyapunov functions and discrete finite-difference methods. Theoretical conditions are derived to achieve synchronization within a finite duration, a concept referred to as (FT-sync), which ensures rapid alignment of system states as opposed to classical asymptotic synchronization. The analysis is supported by numerical simulations that demonstrate the effectiveness of the proposed control strategies in enforcing synchronization under variable initial conditions and system configurations. In addition, the study investigates the impact of system parameters on spatiotemporal dynamics and synchronization patterns. These results hold significant value for practical applications requiring synchronization, such as in chemical reactors and biological systems, while also enriching the theoretical understanding of finite-time dynamics in reaction–diffusion systems.
Source: crossref · Quality: baseline

Research context

OpenAlex topics: Nonlinear Dynamics and Pattern Formation · stochastic dynamics and bifurcation · Neural Networks Stability and Synchronization

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

School of Electrical Engineering and Information Technology, German Jordanian University 1 , Amman 11180,

Department of Mathematics, Al-Zaytoonah University of Jordan 2 , Amman 11733,

Applied Mathematics and Modeling Laboratory, Department of Mathematics, Faculty of Exact Sciences, University of Brothers Mentouri 3 , Constantine 25000,

Department of Mathematics and Computer Science, University of Oum EL-Bouaghi 4 , Oum El Bouaghi 04000,

References (33)

Show source-provided references
1. Lyapunov functions and relative stability in reaction–diffusion systems with multiple stationary states10.1021/JP952876B ↗
2. On the stability of binary reaction–diffusion systems10.1393/NCB/I2004-10210-Y ↗
3. Lyapunov functions and Lp-estimates for a class of reaction–diffusion systems10.4064/CM87-1-7 ↗
4. A Lyapunov functional for a triangular reaction–diffusion system with nonlinearities of exponential growth10.1002/mma.2572 ↗
5. Synchronization of fractional partial difference equations via linear methods10.3390/axioms12080728 ↗
6. On stability of a fractional discrete reaction–diffusion epidemic model10.3390/fractalfract7100729 ↗
7. Synchronization methods for the Degn–Harrison reaction–diffusion systems10.1109/access.2020.2993784 ↗
8. On fractional-order discrete-time reaction diffusion systems10.3390/math11112447 ↗
9. Synchronization of reaction–diffusion systems with time delay via the Lyapunov–Razumikhin method
10. Global synchronization of fractional-order and integer-order N component reaction diffusion systems: Application to biochemical models10.1002/mma.6807 ↗
11. Synchronization of stochastic Markovian jump neural networks with reaction–diffusion terms10.1016/j.neucom.2011.08.024 ↗
12. Synchronization of the glycolysis reaction–diffusion model via linear control law10.3390/e23111516 ↗
13. Synchronization of FitzHugh–Nagumo reaction–diffusion systems via one-dimensional linear control law10.24425/acs.2021 ↗
14. Synchronization results for a class of fractional-order spatiotemporal partial differential systems based on fractional Lyapunov approach10.1186/s13661-019-1188-y ↗
15. Synchronization control in reaction–diffusion systems: Application to Lengyel–Epstein system10.1155/2019/2832781 ↗
16. Fractional-order Degn–Harrison reaction–diffusion model: Finite-time dynamics of stability and synchronization10.3390/computation12070144 ↗
17. A new investigation on dynamics of the fractional Lengyel–Epstein model: Finite time stability and finite time synchronization10.3390/computation12100197 ↗
18. Finite-time synchronization of intermittently controlled reaction–diffusion systems with delays: A weighted LKF method10.1016/j.cnsns.2023.107571 ↗
19. Finite-time lag synchronization of coupled reaction–diffusion systems with time-varying delay via periodically intermittent control10.1080/00036811.2018.1437419 ↗
20. Finite-time synchronisation control of coupled reaction–diffusion systems10.1080/00207721.2019.1690718 ↗
21. Steady states of a Sel’kov–Schnakenberg reaction–diffusion system10.3934/dcdss.2017053 ↗
22. Bifurcations in a general delay Sel’kov–Schnakenberg reaction–diffusion system10.1142/s021812742350195x ↗
23. Stability analysis for Selkov–Schnakenberg reaction–diffusion system10.1515/math-2021-0008 ↗
24. Discretization with variable time steps of an evolution equation with a positive-type memory term10.1016/0377-0427(95)00025-9 ↗
25. Approximation des équations aux dérivées partielles10.51257/a-v1-a550 ↗
26. On a new version of the Gierer–Meinhardt model using fractional discrete calculus10.31838/rna/2024.07.02.001 ↗
27. On stability of a reaction diffusion system described by difference equations10.1080/10236198.2024.2322728 ↗
28. The FitzHugh–Nagumo model described by fractional difference equations: Stability and numerical simulation10.3390/axioms12090806 ↗
29. General methods to synchronize fractional discrete reaction–diffusion systems applied to the glycolysis model10.3390/fractalfract7110828 ↗
30. Finite-time stability analysis of a discrete-time generalized reaction–diffusion system10.3390/math12233679 ↗
31. Finite-time stability of discrete autonomous systems10.1016/j.automatica.2020.109282 ↗
32. Finite-time dynamics of the fractional-order epidemic model: Stability, synchronization, and simulations10.1016/j.csfx.2024.100118 ↗
33. On new results of stability and synchronization in finite-time for FitzHugh–Nagumo model using Gronwall inequality and Lyapunov function10.18196/jrc.v5i6.23211 ↗