Leader-Following Consensus of Nonlinear Multi-agent System via a Distributed ET Impulsive Control Strategy
This paper investigates the leader-following consensus problem of nonlinear multi-agent systems with directed topology by a novel delayed impulsive controller. The impulsive moments are determined by an event-triggered condition. Meanwhile, we also consider the delays in impulsive term on account of the network’s limited communication. Some sufficient conditions are derived to achieve the leader-following consensus, and the Zeno-behavior dose not exhibit. A numeral example is derived to show the validity of our results.
KeywordsMulti-agent systems Event-triggered Impulsive control Delayed impulses
This work was supported by the National Natural Science Foundation of China (Grant No. 61573102), the Natural Science Foundation of Jiangsu Province of China (Grant No. BK20170019), the Jiangsu Provincial Key Laboratory of Networked Collective Intelligence (Grant No. BM2017002), and the Postgraduate Research and Innovation Program of Jiangsu Province (Grant No. KYCX18_0052).