Distributed Fuzzy Resilient Control for Vehicular Platooning System With Multiple Nodes Attacks in Prescribed Performance

Intelligent connected vehicular platooning system (ICVPS) based on vehicular ad-hoc networks (VANETs) is easy to be attacked by multiple malicious nodes in the communication channel. Different from the attacks issue on the feedback channel communication, malicious nodes not only initiate the attack...

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Bibliographic Details
Published inIEEE transactions on vehicular technology Vol. 73; no. 5; pp. 6129 - 6142
Main Authors Pan, Chengwei, Chen, Yong, Chen, Qichao, Ali, Ikram
Format Journal Article
LanguageEnglish
Published New York IEEE 01.05.2024
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects
Actuators
Adaptive control
Collision avoidance
Communication
finite time stability
Fuzzy control
Intelligent connected vehicular platooning system (ICVPS)
Liapunov functions
Mobile ad hoc networks
multiple node attacks
Nodes
Platooning
prescribed performance
Safety
Security
Stability criteria
string stability
Vehicle dynamics
Vehicular ad hoc networks
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Summary:Intelligent connected vehicular platooning system (ICVPS) based on vehicular ad-hoc networks (VANETs) is easy to be attacked by multiple malicious nodes in the communication channel. Different from the attacks issue on the feedback channel communication, malicious nodes not only initiate the attack on the controller-actuator channels of the control layer but also tamper V2V communication interaction on the VANETs. This article investigates the issue of distributed fuzzy adaptive resilient control in prescribed performance for the ICVPS subject to multiple node attacks and disturbances. Firstly, a nonlinear state compensation estimator is developed to eliminate the influence of multiple node attacks on state information. Then, by using the designed exponential spacing policy and the hyperbolic arc-tangent asymmetric barrier Lyapunov function (BLF), the distributed adaptive resilient control scheme is proposed to achieve string stability in prescribed asymmetric constraints performance and fast finite-time stability. The uncertain attack weights and fuzzy weights are compensated by a series of adaptive laws. Finally, the comparative experimental results validate the effectiveness of the presented control scheme.
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ISSN:0018-9545
1939-9359
DOI:10.1109/TVT.2023.3337356