Title
Robust consensus algorithm for multi-agent systems with exogenous disturbances under convergence conditions
Abstract
In this paper, a robust consensus algorithm is developed and sufficient conditions for convergence to consensus are proposed for a multi-agent system (MAS) with exogenous disturbances subject to partial information. By utilizing H-infinity robust control, differential game theory and a design-based approach, the consensus problem of the MAS with exogenous bounded interference is resolved and the disturbances are restrained, simultaneously. Attention is focused on designing an H-infinity robust controller (the robust consensus algorithm) based on minimisation of our proposed rational and individual cost functions according to goals of the MAS. Furthermore, sufficient conditions for convergence of the robust consensus algorithm are given. An example is employed to demonstrate that our results are effective and more capable to restrain exogenous disturbances than the existing literature.
Year
DOI
Venue
2014
10.1080/00207721.2012.757384
International Journal of Systems Science
Keywords
Field
DocType
h∞ robust control,convergence conditions,multi-agent system,consensus algorithm,differential game,multi agent system
Convergence (routing),Consensus,Mathematical optimization,Control theory,Control theory,Differential game,Multi-agent system,Minimisation (psychology),Robust control,Mathematics,Bounded function
Journal
Volume
Issue
ISSN
45
9
0020-7721
Citations 
PageRank 
References 
3
0.37
12
Authors
4
Name
Order
Citations
PageRank
Yu-lian Jiang1213.13
Jianchang Liu250.73
Shubin Tan330.37
Pingsong Ming4111.16