Asynchronous Event-Triggered Control for Networked Interval Type-2 Fuzzy Systems Against DoS Attacks

This article investigates the asynchronous adaptive event-triggered control problem for networked interval type-2 (IT2) fuzzy systems subject to nonperiodic denial-of-service (DoS) attacks. Unlike some existing results, two resilient adaptive event-triggered mechanisms (AETMs) are applied independently to both sensor and controller output while resisting nonperiodic DoS attacks. In particular, the asynchronous resilient AETM thresholds are adaptively varied based on error information between current sampling and latest available packets. Then, a new switched IT2 fuzzy dynamical output feedback system is modeled by discussing the influence of the AETM and nonperiodic DoS attacks simultaneously. Furthermore, mismatched membership functions are considered between dynamic output feedback controller and IT2 fuzzy model, and a slack matrix is introduced to relax stability conditions. Besides, by utilizing the piecewise Lyapunov-Krasovskii function method, sufficient conditions are derived to guarantee that the newly constructed switching system is globally exponentially stable with H-infinity performance. Finally, the effectiveness of the developed control approach is illustrated by two examples.

Automated summary

This article investigates the asynchronous adaptive event-triggered control problem for networked interval type-2 fuzzy systems subject to nonperiodic denial-of-service attacks. Two resilient adaptive event-triggered mechanisms are applied independently to sensor and controller output, adapting threshold values based on error information. The study models a new switched IT2 fuzzy dynamical output feedback system, considering the influence of the mechanisms and nonperiodic DoS attacks, and relaxes stability conditions with a slack matrix. By utilizing the piecewise Lyapunov-Krasovskii function method, sufficient conditions for global stability with H-infinity performance are derived and illustrated through examples.