학술논문

Stability Analysis and Security-Based Event-Triggered Mechanism Design for T-S Fuzzy NCS With Traffic Congestion via DoS Attack and Its Application
Document Type
Periodical
Source
IEEE Transactions on Fuzzy Systems IEEE Trans. Fuzzy Syst. Fuzzy Systems, IEEE Transactions on. 31(10):3639-3651 Oct, 2023
Subject
Computing and Processing
Control systems
Computer hacking
Stability criteria
Servers
Asymptotic stability
Reliability engineering
Protocols
Cyberattacks
event-triggered control
Lyapunov–Krasovskii functional (LKF)
T-S fuzzy networked control system (NCS)
Language
ISSN
1063-6706
1941-0034
Abstract
This article proposes an improved security-based event-triggered fuzzy control (ETFC) method for studying the asymptotic stability problem of nonlinear networked control systems (NCSs) under denial-of-service (DoS) attacks. The nonlinear NCSs are linearized using the central mean fuzzy method to obtain Takagi-Sugeno (T-S) fuzzy NCSs. Lyapunov–Krasovskii functionals (LKFs) with nonlinear problems are constructed based on fuzzy membership functions. A relaxed condition including nonlinear parameters is given, which considers the nonlinear optimization problem and reduces the positive-definiteness constraint problem of LKFs. An improved double-closed delay correlation function is constructed to obtain more sampling information. Furthermore, a quadratic scaling method is used to obtain a tighter upper bound, making the criterion less conservative. A DoS attack causes the channel's throughput to drop and collapse. Thus, in this article, we design ETFC based on the improved descent gradient algorithm to ensure the communication security of the helicopter system (HS). Finally, the communication security and stability of HS are verified using the Simulink platform.