General event-triggered dynamic output feedback control for complex networks subject to cyber attacks.

Abstract

This article concentrates on the issue of event-triggered dynamic output feedback control for Markovian jump complex dynamical networks (MJCNDs) subject to multiple cyberattacks. To alleviate the communication pressure, a new adaptive event-triggered mechanism (AETM) is proposed. This AETM incorporates a dynamically adjustable parameter and mode-dependent properties to enhance flexibility. Then, a new dynamic output feedback model is constructed. It puts unmeasurable states, cyberattacks, event-triggered mechanisms, and time delays into a unified framework. This model effectively resists the negative effects of attacks and time delays. Furthermore, sufficient conditions are derived, which guarantee that the closed-loop system is finite time synchronization. Finally, the validity and superiority of the proposed approach are verified by a simulation example.