Event-based asynchronous communication and sampled control for synchronization of multiagent networks with input saturation

This paper investigates the problem of event-based synchronization of linear dynamical networks subject to input saturation. The asynchronous neighboring information transmission is triggered by distributed events. The sampled control technique is utilized to exclude both the internal Zeno behavior of each agent and the network Zeno behavior attributed to neighboring agents. Allowing the input saturation to be attained, an event-based global synchronization algorithm is proposed for multiagent networks with neutrally stable dynamics. For general linear networks, an event-triggered control protocol is designed using the modified algebraic Riccati equation, with a low-gain cooperative control law proposed to achieve semiglobal synchronization. A numerical example is presented to illustrate the theoretical results.