Observer‐based event‐triggered secure synchronization control for multi‐agent systems under false data injection attacks
Shuo‐Qiu Zhang, Wei‐Wei Che, Chao Deng
Abstract
Abstract In this article, the observer‐based event‐triggered robust secure synchronization control problem is studied for multi‐agent systems (MASs) under a directed graph and false data injection (FDI) attacks. During the information transmission, both control signals and measurement signals may be changed by false data, and the Bernoulli processes are used to describe FDI attacks that occur randomly on the sensor‐to‐controller and the controller‐to‐actuator transmission channels. A new event‐triggered mechanism with the state estimation threshold is introduced to reduce the waste of network resources. Based on which, a resilient observer‐based control scheme is proposed to solve the secure mean‐square bounded synchronization problem of MASs caused by FDI attacks. The controller gain and observer gain are designed by utilizing the linear matrix inequality technique. Furthermore, the Zeno behavior is effectively eliminated and proved by using a contradiction method. Finally, a simulation result is presented to illustrate the effectiveness and applicability of the theoretical results by comparisons.