Switched Observer-Based Adaptive Event-Triggered Load Frequency Control for Networked Power Systems Under Aperiodic DoS Attacks

Wang, Yingchun; Wang, Zhiyong; Gan, Jian; Mu, Yunfei; Wang, Rui

doi:10.1109/tsg.2023.3260269

Cited by 7 publications

(1 citation statement)

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“…By observing the model (47), one can know that the discrete-time dynamics of the load frequency control system follow the nonlinear dynamics (9). The selection of system parameters can be referred to [46]. The control parameters are set as ρ = 0.…”

Section: B Load Frequency Control Systemmentioning

confidence: 99%

Data-Driven-Based Event-Triggered Resilient Control for Cigarette Weight Control System Under Denial of Service Attacks and False Data Injection Attacks

Ye,

Shen,

Feng

et al. 2024

IEEE Access

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This article proposes an event-triggered resilient control algorithm for cigarette weight control systems to defend against denial of service attacks (DoS) attacks and false data injection (FDI) attacks. First, the mathematical model of the system is derived by considering its physical and electromagnetic characteristics. Then, an attack detection mechanism is designed to identify potential FDI attacks. A predictive compensation algorithm is also developed to mitigate the influence of these attacks, incorporating an observer to estimate unknown compensation signals. Due to limited network resources, we employ an event-based model-free adaptive control (MFAC) framework, where data is transmitted only when specific conditions are violated. Throughout the entire control process, only the input and output data of the system are used. Finally, simulation comparisons are provided to demonstrate the effectiveness and superiority of our method.INDEX TERMS Weight control systems, DoS attacks, FDI attacks, model free adaptive control (MFAC), predictive algorithm

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Section: B Load Frequency Control Systemmentioning

confidence: 99%