Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
4946834 | Neurocomputing | 2017 | 17 Pages |
Abstract
This paper studies the consensus of second-order continuous-time multi-agent systems with quantized interaction. For static consensus, a hybrid impulsive protocol is proposed using the quantized relative position information. We prove that for any quantizer accuracy, the multi-agent systems can reach consensus if impulsive intervals are less than a given value. For dynamical consensus, an impulsive protocol is presented using both the quantized relative position and velocity information. It is shown that for any given impulsive interval, the multi-agent system can achieve consensus by selecting appropriate control gains and sufficiently small quantizer accuracy. The simulation results are given to verify the effectiveness of the theoretical results.
Related Topics
Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
Yunru Zhu, Yuanshi Zheng, Yongqiang Guan,