Cluster Formation of Multiagent Systems Under Dynamic Adaptive Event-Triggered Control Scheme and Cyber Attacks.

This article focuses on addressing the cluster formation of multiagent systems (MASs) under cyber attacks. The main motive of this article is to formulate a dynamic adaptive event-triggered (DAET) controller to efficiently reduce the network burden. To ensure the required cluster formation, the communication topology describing the information flow among agents is partitioned into various clusters. The agents within the same cluster need to perform certain formation tasks, while agents in different clusters need to carry out various formation tasks. Furthermore, to ensure cybersecurity, the controller is designed subject to deception attacks. Asuitable Lyapunov-Krasovskii functional is designed to establish sufficient conditions for achieving the required cluster formation of the considered MAS. At last, two numerical examples are presented to verify the capability of the derived theoretical results.