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Hybrid impulsive cooperative control of vehicle platoons with switching communication topology

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  • Liang, Zhanlue
  • Liu, Xinzhi

Abstract

This study delves into the cooperative control challenges within vehicle platoons using delayed hybrid impulsive protocols. These protocols involve both time-dependent and state-dependent switching in communication topology, where each mode includes potentially destabilizing continuous dynamics. By employing the Lyapunov Krasovskii functional method alongside mode-dependent average dwell time and the Lyapunov Razumikhin technique, the paper establishes sufficient conditions. These conditions relate to impulsive strength, switching parameters, convex switching regions, and the operational time ratio between stable and unstable subsystems, ensuring global exponential stability under both switching regimes. Moreover, the research integrates gyroscopic and braking forces to address collision avoidance effectively. Numerical simulations for each switching type validate the theoretical findings, demonstrating their efficacy and applicability. Overall, this paper not only advances the theoretical understanding of cooperative control in vehicle platoons but also holds capability for enhancing the efficiency, safety, and scalability of autonomous transportation systems in practical settings.

Suggested Citation

  • Liang, Zhanlue & Liu, Xinzhi, 2025. "Hybrid impulsive cooperative control of vehicle platoons with switching communication topology," Chaos, Solitons & Fractals, Elsevier, vol. 194(C).
    • Handle: RePEc:eee:chsofr:v:194:y:2025:i:c:s096007792500219x
    DOI: 10.1016/j.chaos.2025.116206
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    References listed on IDEAS

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    1. Shang, Yilun, 2016. "Consensus seeking over Markovian switching networks with time-varying delays and uncertain topologies," Applied Mathematics and Computation, Elsevier, vol. 273(C), pages 1234-1245.
    2. Wang, Boyu & Zhang, Yijun & Wei, Miao, 2023. "Fixed-time leader-following consensus of multi-agent systems with intermittent control," Applied Mathematics and Computation, Elsevier, vol. 438(C).
    3. Liu, Xinzhi & Zhang, Kexue & Xie, Wei-Chau, 2016. "Stabilization of time-delay neural networks via delayed pinning impulses," Chaos, Solitons & Fractals, Elsevier, vol. 93(C), pages 223-234.
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