Title
Sampled-data-based consensus of multi-agent systems with multiplicative noise and time-delays
Abstract
The sampled-data-based consensus control problem of multi-agent systems (MASs) with multiplicative noise and time-delays is studied in this paper. The MASs are given in a continuous-time setting while information exchange occurs only at the sampling instants. Therefore, the traditional methods for continuous-time or discrete-time models are not applicable. To resolve the problem, a discretization-reconnection method is developed to investigate the consensus control of first-order and second-order MASs, respectively. Some sufficient conditions, explicitly related to the control gains and the sampling step size, are established for both mean-square (m.s.) and almost sure (a.s.) consensus. Under these conditions, consensus can be achieved by designing appropriate control gains and the sampling step size for MASs with given noise intensity and time-delays. Numerical simulations verify the effectiveness of the theoretical results.
Year
DOI
Venue
2022
10.1016/j.ins.2022.07.158
Information Sciences
Keywords
DocType
Volume
Sampled-data,Time-delay,Multi-agent systems,Consensus,Multiplicative noise
Journal
609
ISSN
Citations 
PageRank 
0020-0255
0
0.34
References 
Authors
0
4
Name
Order
Citations
PageRank
Kewei Zhang100.34
Yuanyuan Zhang212111.56
Renfu Li3164.42
Guanrong Chen400.34