2023/01/18 by Yushun Tan, Ye Yuan, Xiangpeng Xie +2
Computer Science · Engineering · #Network Security and Intrusion Detection #Neural Networks Stability and Synchronization #Stability and Control of Uncertain Systems
paper · doi:10.1109/tfuzz.2023.3237846
openalex publication_date 2023/01/18 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/30
This article is focused on the adaptive event-based interval type-2 (IT-2) fuzzy security control problem for networked control systems with multiple network attacks. In order to save the network resources, this article proposes an improved adaptive event-triggered model, which can adjust the threshold dynamically according to the change of current signal and previous triggering signal. In addition, due to the change of external environment, the impact of randomly occurring output bias is considered in the systems. Taking the effects of multiple network attacks and adaptive event-triggered scheme into consideration, a class of augmented error fuzzy system model is established. Next, some sufficient conditions are obtained for the stochastic stability with anH∞ performance index via the Lyapunov stability analysis method. The corresponding parameters of the IT-2 fuzzy controllers and observers are also derived by some linear matrix inequalities. Finally, two simulation examples are given to support the advantages of the proposed method.