Network Security Scheme for Discrete-Time T-S Fuzzy Nonlinear Active Suspension Systems Based on Multiswitching Control Mechanism

• Published in: IEEE transactions on fuzzy systems Vol. 33; no. 6; pp. 1926 - 1936
• Main Authors: Shen, Jiaming, Liu, Yang, Chadli, Mohammed
• Format: Journal Article
• Language: English
• Published: IEEE 01.06.2025
• Subjects: Active suspension system (ASS); cybersecurity control; Denial-of-service attack; Fuzzy control; homogeneous polynomial technique; multiswitching-mode (MSM) mechanism; Nonlinear systems; Polynomials; Roads; Suspensions (mechanical systems); Switches; Symmetric matrices; Takagi–Sugeno (T-S) fuzzy systems; Telecommunications; Vehicle dynamics
• ISSN: 1063-6706; 1941-0034
• DOI: 10.1109/TFUZZ.2025.3545824

This article investigates the cybersecurity problem of active suspension systems (ASSs) subject to random denial-of-service (DoS) attacks. Consider the nonlinearity and uncertainty of ASSs, the Takagi-Sugeno (T-S) fuzzy theory is applied to address these issues. In order to model various potential operating behaviors of the system, a high-order multiswitching-mode (HOMSM) T-S fuzzy control scheme is constructed, in which a series of free-weighted matrix sets are developed for different switching modes, such that the conservatism of controller design is reduced to a certain extent. By designing the HOMSM control method, a certain level of resistance to randomly activated DoS attacks can be achieved. With the help of homogeneous polynomial technology, several time-varying balance matrices are constructed for extracting the properties of different switching modes. Then, the exponential stability conditions of ASSs under DoS attacks can be derived, and the <inline-formula><tex-math notation="LaTeX">H_{\infty }</tex-math></inline-formula> performance criterion is guaranteed. Finally, the theoretical results are validated by the hardware-in-the-loop experiments.