Open Access iconOpen Access

ARTICLE

crossmark

Robust Control and Stabilization of Autonomous Vehicular Systems under Deception Attacks and Switching Signed Networks

Muflih Alhazmi1, Waqar Ul Hassan2, Saba Shaheen3, Mohammed M. A. Almazah4, Azmat Ullah Khan Niazi3,*, Nafisa A. Albasheir5, Ameni Gargouri6, Naveed Iqbal7

1 Department of Mathematics, College of Sciences, Northern Border University, Arar, 91413, Saudi Arabia
2 Department of Mathematics, Faculty of Sciences, University of Mianwali, Mianwali, 42200, Punjab, Pakistan
3 Department of Mathematics and Statistics, The University of Lahore, Sargodha, 40100, Pakistan
4 Department of Mathematics, College of Sciences and Arts (Muhyil), King Khalid University, Muhyil, 61421, Saudi Arabia
5 Department of Mathematics, College of Sciences and Arts (Magardah), King Khalid University, Magardah, 61421, Saudi Arabia
6 Mathematics Department, College of Humanities and Science in Al Aflaj, Prince Sattam Bin Abdulaziz University, Al-Kharj, 11912, Saudi Arabia
7 Department of Mathematics, College of Science, University of Ha’il, Ha’il, 2440, Saudi Arabia

* Corresponding Author: Azmat Ullah Khan Niazi. Email: email

(This article belongs to the Special Issue: Computational Modeling, Simulation, and Algorithmic Methods for Dynamical Systems)

Computer Modeling in Engineering & Sciences 2025, 145(2), 1903-1940. https://doi.org/10.32604/cmes.2025.072973

Abstract

This paper proposes a model-based control framework for vehicle platooning systems with second-order nonlinear dynamics operating over switching signed networks, time-varying delays, and deception attacks. The study includes two configurations: a leaderless structure using Finite-Time Non-Singular Terminal Bipartite Consensus (FNTBC) and Fixed-Time Bipartite Consensus (FXTBC), and a leader—follower structure ensuring structural balance and robustness against deceptive signals. In the leaderless model, a bipartite controller based on impulsive control theory, gauge transformation, and Markovian switching Lyapunov functions ensures mean-square stability and coordination under deception attacks and communication delays. The FNTBC achieves finite-time convergence depending on initial conditions, while the FXTBC guarantees fixed-time convergence independent of them, providing adaptability to different operating states. In the leader—follower case, a discontinuous impulsive control law synchronizes all followers with the leader despite deceptive attacks and switching topologies, maintaining robust coordination through nonlinear corrective mechanisms. To validate the approach, simulations are conducted on systems of five and seventeen vehicles in both leaderless and leader—follower configurations. The results demonstrate that the proposed framework achieves rapid consensus, strong robustness, and high resistance to deception attacks, offering a secure and scalable model-based control solution for modern vehicular communication networks.

Keywords

Autonomous vehicles; vehicle platooning; stabilization; decision and control systems; switching signed networks; leader–follower coordination; gauge transformation; Lyapunov stability; deception and cybe-security attacks; secure vehicular networks

Cite This Article

APA Style
Alhazmi, M., Hassan, W.U., Shaheen, S., Almazah, M.M.A., Niazi, A.U.K. et al. (2025). Robust Control and Stabilization of Autonomous Vehicular Systems under Deception Attacks and Switching Signed Networks. Computer Modeling in Engineering & Sciences, 145(2), 1903–1940. https://doi.org/10.32604/cmes.2025.072973
Vancouver Style
Alhazmi M, Hassan WU, Shaheen S, Almazah MMA, Niazi AUK, Albasheir NA, et al. Robust Control and Stabilization of Autonomous Vehicular Systems under Deception Attacks and Switching Signed Networks. Comput Model Eng Sci. 2025;145(2):1903–1940. https://doi.org/10.32604/cmes.2025.072973
IEEE Style
M. Alhazmi et al., “Robust Control and Stabilization of Autonomous Vehicular Systems under Deception Attacks and Switching Signed Networks,” Comput. Model. Eng. Sci., vol. 145, no. 2, pp. 1903–1940, 2025. https://doi.org/10.32604/cmes.2025.072973



cc Copyright © 2025 The Author(s). Published by Tech Science Press.
This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
  • 125

    View

  • 52

    Download

  • 0

    Like

Share Link