Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
6952736 | Journal of the Franklin Institute | 2018 | 23 Pages |
Abstract
This paper addresses the mean-square consensus problems of continuous-time heterogeneous multi-agent systems with communication noises. First, in order to attenuate the communication noises, time-varying consensus gains are applied in the consensus algorithm. Then, by using the tools of algebraic graph theory and stochastic analysis, sufficient conditions for the mean-square consensus are given for the cases with and without a leader. Finally, simulations are provided to demonstrate the effectiveness of the proposed algorithms.
Related Topics
Physical Sciences and Engineering
Computer Science
Signal Processing
Authors
Shaoyan Guo, Lipo Mo, Yongguang Yu,