Quantized tracking control for Interval Type‐2 fuzzy systems under privacy protection and hybrid attacks

This article investigates the problem of quantized state feedback tracking control for discrete‐time nonlinear systems subject to privacy protection and hybrid attacks. To capture the inherent nonlinear dynamics of the plant and improve modeling accuracy, an interval type‐2 (IT2) Takagi‐Sugeno (T‐S) fuzzy model is adopted. To mitigate the communication burden in networked transmission, three uniform dynamic quantizers are incorporated into the communication links to reduce the number of transmitted packets. The primary objective of this study is to design an IT2 fuzzy state feedback tracking controller that guarantees both the mean‐square asymptotic stability and tracking performance of the closed‐loop system, even in the presence of privacy protection constraints and hybrid cyber‐attacks. Moreover, all design parameters can be obtained by solving a set of linear matrix inequalities. Finally, two simulation examples are presented to verify the effectiveness of the proposed method.