Consensus of Multiagent Systems Via A Distributed Event-Triggered Intermittent Control

This paper respectively investigates the leader-following consensus by distributed event-triggered intermittent control (DETIC) and distributed event-triggered intermittent adaptive control (DETIAC) for multiagent systems (MASs). Different from traditional intermittent control, the starting and ending times of intermittent control are determined by distributed event-triggered mechanisms (ETMs), breaking the rigidity of mechanical intermittent control and further reducing the utilization of network resources. Especially, the designed distributed ETMs only use own real-time state information and its neighbors' states at their latest triggering moment, which means that every agent doesn't required continue communication with neighbors. In addition, the adaptive control gain is introduced to DETIC, where the updating of adaptive gain only occurs during working time and does not require continue communication with other agents. Compared with DETIC, no extra communication is needed for updating the adaptive gain. Moreover, Zeno behavior is excluded under the proposed control strategies. Finally, two simulations validate the effectiveness of DETIC and DETIAC.