ETM-Based Fault-Tolerant and Intrusion-Tolerant Control for 2-D Planar Vehicular Platoon With Actual Traffic Scenarios

Wei Dong Xu, Xiang Gui Guo, Jian Liang Wang, Huaicheng Yan, Zheng Guang Wu

Research output: Journal PublicationArticlepeer-review

Abstract

This paper proposes a fault-tolerant and intrusion-tolerant control strategy for a two-dimensional (2-D) planar vehicular platoon system subject to unknown limitless reversals in fault directions (ULRFDs) and stochastic false data injection attacks (FDIAs). An algorithm is also proposed to realize some actual traffic scenarios such as multi-lane vehicle merging and a single vehicle joining or exiting a platoon. In contrast to the existing results, under stochastic FDIAs, the considered fault directions can be unknown, time-varying, and limitless continuously transformed, as well as the fault frequency is not limited. A novel Nussbaum function with a bounded and adjustable amplitude is constructed using the idea of time-elongation (instead of amplitude-elongation) to attenuate the control input shocks caused by the amplitude-elongation Nussbaum function and to solve the ULRFD problem effectively. Furthermore, two Zeno-free event-triggered mechanisms (ETMs) respectively for velocity and angular velocity are constructed to reduce the communication cost on the controller-actuator channels. It is worth mentioning that a passive intrusion-tolerant method without introducing any additional learning parameter is adopted to solve stochastic FDIAs on the controller-actuator channels. This simplifies our controller structure and reduces the online computational load. Finally, simulation results validate the effectiveness and supremacy of the proposed control strategy and algorithm.

Original languageEnglish
Pages (from-to)18884-18898
Number of pages15
JournalIEEE Transactions on Intelligent Transportation Systems
Volume25
Issue number11
DOIs
Publication statusPublished - 2024
Externally publishedYes

Keywords

  • event-triggered mechanism (ETM)
  • stochastic false data injection attacks (FDIAs)
  • unknown limitless reversals in fault directions (ULRFDs)
  • Vehicular platoon

ASJC Scopus subject areas

  • Automotive Engineering
  • Mechanical Engineering
  • Computer Science Applications

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