Distributed adaptive model-based event-triggered predictive control for consensus of multiagent systems

摘要

This paper investigates the consensus problem for discrete-time networked multiagent systems, where the information is exchanged through a shared network with communication delays. Based on the event-triggered communication scheme together with the networked predictive control scheme, a novel distributed adaptive model-based event-triggered predictive control protocol is proposed to reduce the network communication burden and compensate for the communication delays actively. By using the virtual interval segmentation technique and the time-delay modeling method together with defining a set of switching signals, the closed-loop systems are established in forms of switching time-delay systems. The problem of simultaneously deriving the controller gain matrix and the event-triggering parameter matrices is cast into standard linear matrix inequalities problem. A convincing simulation example is given to demonstrate the theoretical results.