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Article

Stability and Optimal Control Analysis for a Fractional-Order Industrial Virus-Propagation Model Based on SCADA System

1
College of Mathematics and Information, China West Normal University, Nanchong 637009, China
2
Sichuan Colleges and Universities Key Laboratory of Optimization Theory and Applications, China West Normal University, Nanchong 637009, China
3
Institute of Nonlinear Analysis and Applications, China West Normal University, Nanchong 637009, China
4
School of Mathematical Sciences, Chengdu University of Technology, Chengdu 610059, China
*
Author to whom correspondence should be addressed.
Mathematics 2025, 13(8), 1338; https://doi.org/10.3390/math13081338
Submission received: 28 February 2025 / Revised: 14 April 2025 / Accepted: 15 April 2025 / Published: 19 April 2025

Abstract

The increasing reliance on and remote accessibility of automated industrial systems have shifted SCADA networks from being strictly isolated to becoming highly interconnected systems. The growing interconnectivity among systems enhances operational efficiency and also increases network security threats, especially attacks from industrial viruses. This paper focuses on the stability analysis and optimal control analysis for a fractional-order industrial virus-propagation model based on a SCADA system. Firstly, we prove the existence, uniqueness, non-negativity and boundedness of the solutions for the proposed model. Secondly, the basic reproduction number R0α is determined, which suggests the conditions for ensuring the persistence and elimination of the virus. Moreover, we investigate the local and global asymptotic stability of the derived virus-free and virus-present equilibrium points. As is known to all, there is no unified method to establish a Lyapunov function. In this paper, by constructing an appropriate Lyapunov function and applying the method of undetermined coefficients, we prove the global asymptotic stability for all possible equilibrium points. Thirdly, we formulate our system as an optimal control problem by introducing appropriate control variables and derive the corresponding optimality conditions. Lastly, a set of numerical simulations are conducted to validate the findings, followed by a summary of the overall study.
Keywords: SLBR model; Caputo fractional derivative; basic reproduction number; stability analysis; fractional optimal control; numerical simulations SLBR model; Caputo fractional derivative; basic reproduction number; stability analysis; fractional optimal control; numerical simulations

Share and Cite

MDPI and ACS Style

Huang, L.; Gao, D.; Feng, S.; Li, J. Stability and Optimal Control Analysis for a Fractional-Order Industrial Virus-Propagation Model Based on SCADA System. Mathematics 2025, 13, 1338. https://doi.org/10.3390/math13081338

AMA Style

Huang L, Gao D, Feng S, Li J. Stability and Optimal Control Analysis for a Fractional-Order Industrial Virus-Propagation Model Based on SCADA System. Mathematics. 2025; 13(8):1338. https://doi.org/10.3390/math13081338

Chicago/Turabian Style

Huang, Luping, Dapeng Gao, Shiqiang Feng, and Jindong Li. 2025. "Stability and Optimal Control Analysis for a Fractional-Order Industrial Virus-Propagation Model Based on SCADA System" Mathematics 13, no. 8: 1338. https://doi.org/10.3390/math13081338

APA Style

Huang, L., Gao, D., Feng, S., & Li, J. (2025). Stability and Optimal Control Analysis for a Fractional-Order Industrial Virus-Propagation Model Based on SCADA System. Mathematics, 13(8), 1338. https://doi.org/10.3390/math13081338

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