Dynamic event-triggered control for fuzzy systems with time-delay under hybrid cyber attacks

This study explores the design of controllers for interval type-2 (IT2) fuzzy time-delay networked systems that are vulnerable to various cyber attacks, including denial-of-service (DoS) and deception attacks. To enhance resource utilization, a dynamic event-triggered mechanism (DETM) is utilized for signal transmission. This mechanism is designed to optimize the timing of data exchanges and reduce unnecessary communication. A Lyapunov-Krasovskii functional (LKF) is introduced to investigate the stability of the system under these challenging conditions. Exponential stability and the H_∞ performance index are incorporated into stability conditions, based on which the control law is established. The effectiveness of the proposed control strategy and the DETM is demonstrated through two illustrative examples. It is shown that the approach maintains the stability in the presence of DoS and deception attacks, confirming the practical applicability of the proposed method. This comprehensive analysis and verification highlight the potential applications of the proposed design in attack scenarios.