LAUSR

In this article, we consider a multiagent linear control system, where multiple actuators are tightly coupled with an unstable dynamic plant and connected with a couple of geographically scattered remote controllers over wireless interference channels. We propose a novel decentralized dynamic scheduling and control scheme for multiple control agents, where the associated solutions are fully decentralized with an event-triggered structure in the sense that the structure depends on the instantaneous plant state and local channel state for each controller. We establish the closed-form sufficient requirements on the communication resources needed to achieve stabilization of the multiagent system using the Lyapunov drift analysis approach. Numerical results show that our proposed scheme can achieve significant performance gain over various state-of-the-art baselines for scheduling and control of the multiagent system.