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Fault-tolerant control of EVs lateral dynamics with deception attack and multi-channel dynamic quantization

Author

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  • Pan, Ting-Ting
  • Xiong, Jun

Abstract

This paper proposes a fault-tolerant control method for electric vehicles (EVs) lateral dynamics fuzzy system that considers dynamic quantization, deception attack, and actuator fault, which improves the lateral stability and handling performance of the EVs. Considering the nonlinear variations of vehicle longitudinal speed, total mass, and moment of inertia about the yaw axis, a Takagi–Sugeno (T–S) fuzzy model is used to describe the EV lateral system, with norm-bounded uncertain parameters. A one-step design scheme for dynamic quantizers and fuzzy controller is provided, enabling the sideslip angle and the yaw rate to follow the reference output and satisfy the H∞ and L2–L∞ performance, respectively. Finally, the CarSim is introduced to simulate the actual vehicle system state, and a co-simulation with MATLAB/Simulink is conducted to verify the effectiveness of the proposed design scheme.

Suggested Citation

  • Pan, Ting-Ting & Xiong, Jun, 2026. "Fault-tolerant control of EVs lateral dynamics with deception attack and multi-channel dynamic quantization," Applied Mathematics and Computation, Elsevier, vol. 514(C).
    • Handle: RePEc:eee:apmaco:v:514:y:2026:i:c:s0096300325005764
    DOI: 10.1016/j.amc.2025.129851
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    References listed on IDEAS

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    1. Xu, Bo & Liang, Yanjun & Li, Yuan-Xin & Hou, Zhongsheng, 2022. "Adaptive command filtered fixed-time control of nonlinear systems with input quantization," Applied Mathematics and Computation, Elsevier, vol. 427(C).
    2. Cai, Xiao & Shi, Kaibo & She, Kun & Zhong, Shouming & Kwon, Ohmin & Tang, Yiqian, 2022. "Voluntary defense strategy and quantized sample-data control for T-S fuzzy networked control systems with stochastic cyber-attacks and its application," Applied Mathematics and Computation, Elsevier, vol. 423(C).
    3. Ma, Dazhong & Wang, Tianbiao & Zhang, Huaguang & Xie, Xiangpeng, 2021. "Adaptive fault-tolerant output regulation of linear systems with unknown dynamics and actuator faults," Applied Mathematics and Computation, Elsevier, vol. 402(C).
    4. Zhao, Jipeng & Yang, Guang-Hong, 2023. "Fuzzy adaptive secure tracking control against unknown false data injection attacks for uncertain nonlinear systems with input quantization," Applied Mathematics and Computation, Elsevier, vol. 437(C).
    5. Ge, Chao & Liu, Zengshuai & Wang, Lei & Liu, Yajuan, 2022. "Improved stability criteria of T-S fuzzy systems with sampled-data-based dissipative control," Applied Mathematics and Computation, Elsevier, vol. 424(C).
    Full references (including those not matched with items on IDEAS)

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