Observer-Based Asynchronous Event-Triggered Bipartite Consensus of Multiagent Systems Under False Data Injection Attacks
Zhengxin Wang, Sangli Shi, Wangli He, Min Xiao, Jinde Cao, Sergey Gorbachev
Abstract
This article investigates bipartite consensus of multiagent systems under unknown false data injection attacks. Attacks are launched in the channels from the controller to the actuator. To compensate for the impact of attacks, an extended observer including the absolute output information is first constructed, and then an observer-based event-triggered controller is designed to save resources. Moreover, an observer-based fully asynchronous event-triggered controller is proposed. Sufficient criteria are deduced to guarantee bipartite consensus, and Zeno behavior is further ruled out. Finally, numerical examples are given to illustrate the effectiveness of the derived results.