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Robust Consensus and Soft Control of Multi-Agent Systems with Noises*

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Abstract

This paper considers the problem of robust consensus for a basic class of multi-agent systems with bounded disturbances and with directed information flow. A necessary and sufficient condition on the robust consensus is first presented, which is then applied to the analysis, control and decision making problems in the noise environments. In particular, the authors show how a soft control technique will synchronize a group of autonomous mobile agents without changing the existing local rule of interactions, and without assuming any kind of connectivity conditions on the system trajectories.

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Authors and Affiliations

  1. Institute of Systems Science, Academy of Mathematics and Systems Science, Chinese Academy of Sciences, Beijing, 100190, China

    Lin Wang & Lei Guo

Authors
  1. Lin Wang
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  2. Lei Guo
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Correspondence to Lin Wang.

Additional information

*This research is supported by the National Natural Science Foundation of China under Grant No. 60221301 and the Knowledge Innovation Project of Chinese Academy of Sciences under Grant No. KJCX3-SYW-S01.

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Wang, L., Guo, L. Robust Consensus and Soft Control of Multi-Agent Systems with Noises*. J Syst Sci Complex 21, 406–415 (2008). https://doi.org/10.1007/s11424-008-9122-x

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  • DOI: https://doi.org/10.1007/s11424-008-9122-x

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