Distributed Average Tracking with Event-Triggered Algorithms of Multi-Agent Systems

Abstract

Distributed average tracking (DAT) problems are investigated for general linear dynamical systems under undirected connected topology in this paper. A kind of distributed event-triggered DAT algorithms with static gain is designed by using model-based local sampled state information. The control objective of the considered DAT problem is achieved by using the proposed event-triggered DAT algorithms. Meanwhile, the Zeno behavior is excluded. Finally, a simulation example is presented to validate the proposed control laws.