Secure Event-Triggered Control for IT-2 Fuzzy Networked Systems With Stochastic Communication Protocol and FDI Attacks
Jian Liu, Jiachen Ke, Jinliang Liu, Xiangpeng Xie, Engang Tian
Abstract
This article is concerned with the secure event-triggered (ET) control issue for interval type-2 (IT-2) fuzzy networked systems under stochastic communication (SC) protocol and random false data injection attacks. On account of the realistic physical sensor constraint, a saturation function is utilized in the measured output. In an effort to mitigate the network burden and reduce the incidence of data collision, a novel dynamic ET SC protocol is proposed by integrating with the major merits of the dynamic ET strategy and SC protocol. Moreover, the fuzzy observer-based controller in the presence of different membership functions is constructed. Subsequently, some sufficient design conditions are put forward for satisfying the asymptotically stable performance of the augmented closed-loop IT-2 fuzzy model. In addition, the gain parameters of fuzzy observer and controller can be obtained by virtue of solvable sufficient criteria without nonlinear terms. Eventually, the effectiveness of the theoretical secure fuzzy control scheme is verified by a numerical example.