Resilient control design of networked vehicle suspension system under False Data Injection Attacks
Year: 2025
Type: article
Abstract: Under covert false data injection (FDI) attacks, the robust security control problem of nonlinear active vehicle suspension systems (AVSSs) is examined in this paper. First, the network fuzzy control active suspension model is developed, and the Takagi-Sugeno (T-S) fuzzy technology is applied to address the uncertainty of AVSSs. Secondly, considering the influence of the FDI attack model, a resilient controller is designed for AVSSs. The exponential stability condition of the system under the network assault is then derived concurrently with the design of the Lyapunov function associated with the membership degree. Lastly, a simulation test confirms the developed controller's efficacy.
DOI: 10.54097/2dgb4v45
Author: Yuhui Zhang
Institution: Jiangsu University of Science and Technology
Language: English
Subfield: Control and Systems Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: diamond
OpenAlex ID: W6912742306