Quantized Stabilization for T-S Fuzzy Systems With Hybrid-Triggered Mechanism and Stochastic Cyber-Attacks

• Published in: IEEE transactions on fuzzy systems Vol. 26; no. 6; pp. 3820 - 3834
• Main Authors: Liu, Jinliang, Wei, Lili, Xie, Xiangpeng, Tian, Engang, Fei, Shumin
• Format: Journal Article
• Language: English
• Published: New York IEEE 01.12.2018; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Control stability; Control systems; Cybersecurity; Fuzzy systems; Hybrid systems; Hybrid-triggered scheme; Mathematical analysis; Mathematical model; Matrix methods; networked control systems (NCSs); Nonlinear systems; Quantization (signal); Stabilization; stochastic cyber-attacks; Stochastic processes; Symmetric matrices; Takagi–Sugeno (T–S) fuzzy systems; Theorems

This paper examines quantized stabilization for Takagi-Sugeno (T-S) fuzzy systems with a hybrid-triggered mechanism and stochastic cyber-attacks. A hybrid-triggered scheme, which is described by a Bernoulli variable, is adopted to mitigate the burden of the network. By taking the effect of the hybri...