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Author:

Li, Yang (Li, Yang.) | Chen, Yangzhou (Chen, Yangzhou.) (Scholars:陈阳舟) | Li, Shanglin (Li, Shanglin.)

Indexed by:

Scopus SCIE

Abstract:

This paper investigates the privacy-preserving cooperative control problem for heterogeneous vehicle platoon systems (VPSs) subject to deception attacks. First, based on the predictive spacing strategy, the vehicle platoon problem is transformed into a leader-follower consensus issue by introducing a new variable. Due to the open nature of vehicle-to-vehicle (V2V) wireless communication networks, the output mask approach, which encrypts V2V data prior to transmission, is adopted to prevent the leakage of initial states. Furthermore, considering the heterogeneous VPSs subjected to random deception attacks and external disturbances, a secure control scheme based on output mask is proposed for the platoon systems. This scheme can simultaneously achieve privacy protection and defense against deception attacks. Based on Lyapunov stability theory and linear matrix inequality (LMI) techniques, sufficient conditions for achieving platoon control objectives and ensuring the stability of the closed-loop system are derived. Finally, the effectiveness of the proposed control method is verified through numerical simulations and comparisons.

Keyword:

Heterogeneous vehicle platoon systems Deception attacks Output mask Privacy-preserving

Author Community:

  • [ 1 ] [Li, Yang]Beijing Univ Technol, Coll Artificial Intelligence & Automat, Beijing 100124, Peoples R China
  • [ 2 ] [Chen, Yangzhou]Beijing Univ Technol, Coll Artificial Intelligence & Automat, Beijing 100124, Peoples R China
  • [ 3 ] [Li, Shanglin]Beijing Univ Technol, Coll Artificial Intelligence & Automat, Beijing 100124, Peoples R China
  • [ 4 ] [Li, Yang]Beijing Univ Technol, Engn Res Ctr Digital Community, Beijing 100124, Peoples R China
  • [ 5 ] [Chen, Yangzhou]Beijing Univ Technol, Engn Res Ctr Digital Community, Beijing 100124, Peoples R China
  • [ 6 ] [Li, Shanglin]Beijing Univ Technol, Engn Res Ctr Digital Community, Beijing 100124, Peoples R China

Reprint Author's Address:

  • 陈阳舟

    [Chen, Yangzhou]Beijing Univ Technol, Coll Artificial Intelligence & Automat, Beijing 100124, Peoples R China;;[Chen, Yangzhou]Beijing Univ Technol, Engn Res Ctr Digital Community, Beijing 100124, Peoples R China

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Source :

INTERNATIONAL JOURNAL OF AUTOMOTIVE TECHNOLOGY

ISSN: 1229-9138

Year: 2025

1 . 6 0 0

JCR@2022

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 7

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