Attack-Dependent Adaptive Event-Triggered Security Fuzzy Control for Nonlinear Networked Cascade Control Systems Under Deception Attacks

Xi-Ming Liu, Xiao-Heng Chang () and Li-Wei Hou
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Xi-Ming Liu: School of Control Science and Engineering, Bohai University, Jinzhou 121013, China
Xiao-Heng Chang: School of Control Science and Engineering, Bohai University, Jinzhou 121013, China
Li-Wei Hou: School of Control Science and Engineering, Bohai University, Jinzhou 121013, China

Mathematics, 2024, vol. 12, issue 21, 1-24

Abstract: This article investigates the issue of H ∞ security output feedback control for a nonlinear networked cascade control system with deception attacks. First, to further reduce the amount of communication data, reasonably schedule network resources, and alleviate the impact of multi-channel deception attacks, an attack-dependent adaptive event-triggered mechanism is introduced into the primary network channel, and its adaptive triggered threshold can be adjusted according to the random attack probability. Secondly, the output dynamic quantization of the secondary network channel is considered. Then, a novel security cascade output feedback controller design framework based on the Takagi–Sugeno (T-S) fuzzy networked cascade control system under deception attacks is established. In addition, by introducing the Lyapunov–Krasovskii stability theory, the design conditions of the controller are given. Finally, the effectiveness and superiority of the proposed design strategies are verified by two simulation examples of power plant boiler–turbine system and power plant boiler power generation control system.

Keywords: nonlinear networked cascade control system; attacks-dependent adaptive event-triggered mechanism; dynamic quantization; deception attacks (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2024
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