Event-Triggered Synchronization of Multiagent Systems With Partial Input Saturation
Xuegang Tan, Ming Cao, Jinde Cao, Wenying Xu, Yiping Luo
Abstract
This article is concerned with the distributed event/self-triggered synchronization problem for general linear multiagent systems with partial input saturation. Both the event-based and self-triggered laws are designed using the local sampled, possibly saturated, state, which ensures the bounded synchronization of the multiagent systems and exclusion of the Zeno-behavior. The continuous communication between agents is avoided under these triggering protocols. Different from the existing related works, we show the fully distributed design for multiagent systems, where the synchronization criteria, the designed input laws, and the proposed triggering protocols do not depend on any global information of the communication topology. In addition, the computational load of multiagent systems is reduced significantly.