Input-observer event-based consensus in linear multi-agent systems

Abstract

This paper provides an input-observer event-based controller to solve consensus problems in multi-agent systems with general linear dynamics over fixed directed and undirected network topologies. A Lyapunov-based event condition is proposed to achieve consensus using neighbors’ output information. The proposed method is distributed in the sense that the event detectors only use neighbors’ information, and the controller updates its value by using intermittent communication. Finally, an example is provided to illustrate the effectiveness of theoretical results.

Synchronization of chaotic multi-agent systems with communication delay

“…Furthermore, a numerical example was provided to demonstrate the effectiveness of our methodology in different scenarios, including leader-follower scenario with different connections among agents. Further research could be done on the effects of switching graphs on the consensus of the chaotic multi-agent systems and using event-based control to reduce the communication burden and save resources, such as Eslami et al (2022).…”