Title
Bridging the Gap Between Transmission Noise and Sampled Data for Robust Consensus of Multi-Agent Systems
Abstract
It is well known that multi-agent systems (MASs) are ubiquitous in natural and artificial systems. This paper aims at bridging the gap between transmission noise and sampled data for robust consensus of MASs. In detail, we have developed a theoretical framework for analyzing the robust consensus of MASs with sampled-data controllers and transmission noises. Using the delay-input and discretization approaches, we obtain two sufficient conditions on the existence of sampling periods and controller parameters for robust consensus of MASs, respectively. In particular, we deduce the estimates of the convergence speeds of consensus errors for the above two methods. Finally, numerical simulations are also given to validate our theoretical results.
Year
DOI
Venue
2015
10.1109/TCSI.2015.2434101
Circuits and Systems I: Regular Papers, IEEE Transactions
Keywords
Field
DocType
multi-agent systems,robust consensus,sampled-data control,transmission noises,noise,multi agent systems,sampled data systems,convergence,robustness
Convergence (routing),Transmission (mechanics),Discretization,Control theory,Control theory,Bridging (networking),Multi-agent system,Robustness (computer science),Sampling (statistics),Mathematics
Journal
Volume
Issue
ISSN
62
7
1549-8328
Citations 
PageRank 
References 
14
0.64
19
Authors
3
Name
Order
Citations
PageRank
Kexin Liu1140.64
Henghui Zhu2161.36
Lv Jinhu32906244.29