Title | ||
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Robust consensus algorithm for multi-agent systems with exogenous disturbances under convergence conditions |
Abstract | ||
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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 |
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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 Jiang | 1 | 21 | 3.13 |
Jianchang Liu | 2 | 5 | 0.73 |
Shubin Tan | 3 | 3 | 0.37 |
Pingsong Ming | 4 | 11 | 1.16 |