Litcius/Paper detail

Secure Synchronization of Coupled Systems via Double Event-Triggering Mechanisms With Actuator Fault

Zhilu Xu, Rongqiang Tang, Yaping Sun, Xiaodi Li, Xinsong Yang

2022IEEE Transactions on Network Science and Engineering43 citationsDOI

Abstract

This paper studies the global exponential synchronization almost surely (GES a.s.) for coupled systems (CSs) with stochastic switching topology by using event-based output feedback control. It is assumed that the sensor-controller channel is subject to stochastic deception attacks and the actuator faults may occur to some modes. Novel double mode-dependent adaptive event-triggering mechanisms (ETMs) are introduced based on sampled data technique. Not only the Zeno phenomenon is naturally excluded, but also the asynchronous phenomenon is skillfully avoided. Based on the Lyapunov-Krasovskii functional method and the linear matrix inequality (LMI) technology, some sufficient conditions are presented to guarantee GES a.s. of the concerned system. Moreover, the event-based output feedback controller and the double ETMs can be designed by solving LMIs. In addition, an event-based pinning control is considered and some sufficient conditions are presented. As a theoretic application, our proposed results can be applied to secure synchronization problem for CSs subject to stochastic mixed attacks consisting of denial-of-service (DoS) attacks and deception attacks. Finally, two numerical examples are presented to demonstrate the effectiveness and the merits of the theoretical analysis.

Topics & Concepts

Control theory (sociology)Synchronization (alternating current)Controller (irrigation)Computer scienceActuatorDenial-of-service attackAsynchronous communicationLinear matrix inequalityEvent (particle physics)MathematicsChannel (broadcasting)Control (management)Mathematical optimizationThe InternetBiologyWorld Wide WebQuantum mechanicsPhysicsComputer networkArtificial intelligenceAgronomyNeural Networks Stability and SynchronizationNonlinear Dynamics and Pattern FormationStability and Control of Uncertain Systems