Information Consensus in Distributed Systems Under Local Communication and Switching Topologies

Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 215)

Abstract

This paper deals with the Information consensus problem in distributed systems under local communication and dynamically switching interaction topologies. We show conditions under which consensus is reached under switching directed information exchange topologies. We propose distributed model predictive control schemes that take into account constraints on the agents input and show that they guarantee consensus under mild assumptions. Simulation results show that the proposed scheme is effective under both fixed and dynamically switching interaction topologies.

Keywords

Information consensus Distributed systems Communication Topologies 

Notes

Acknowledgments

This work was supported by the National Natural Science Foundation of China (61075083), and Henan Province Innovation and Technology Fund for Outstanding Scholarship (0421000500), and the Key Scientific Research Projects of Henan University of technology (09XZD008), and the Science Foundation of Henan University of Technology (150166).

References

  1. 1.
    Tanner HG, Sandoval R (2011) Coordinated standoff tracking of moving targets: control laws and information architectures. J Guidance Control Dyn 32(4):56–69Google Scholar
  2. 2.
    Olfati-Saber R (2006) Flocking for multi-agent dynamic systems: algorithms and theory. IEEE Trans Autom Control 51:401–420Google Scholar
  3. 3.
    Redding J, Geramifard A, Undurti A (2010) An intelligent cooperative control architecture. In: Proceedings of the 2010 American control conference, pp 57–62Google Scholar
  4. 4.
    Hatta H, Uemura S, Kabayashi H (2010) Cooperative control of distribution system with customer equipments to reduce reverse power flow from distributed generation. In: IEEE PES general meeting, PES 2010, pp 2519–2535Google Scholar
  5. 5.
    Farineli A, Fujii H, Tomoyasu N, Pagello E (2010) Cooperative control through objective achievement. Robot Auton Syst 58:910–920Google Scholar
  6. 6.
    Michael N, Belta C, Kumar Z (2005) Controlling three dimensional swarms of robots. In: IEEE international conference on robotics and automation, Orlando, Florida, pp 964–969Google Scholar
  7. 7.
    Olfati-Saber R, Fax JA, Murray RM (2004) Consensus and cooperation in networked multi-agent systems. IEEE Trans Autom Control 49(9):1520–1533Google Scholar
  8. 8.
    Jadbabaie A, Lin J, Morse AS (2003) Coordination of groups of mobile autonomous agents using nearest neighbor rules. IEEE Trans Autom Control 48:988–1001Google Scholar
  9. 9.
    Ren W, Beard RW (2005) Consensus seeking in multiagent systems under dynamically changing interaction topologies. IEEE Trans Autom Control 50(5):655–661Google Scholar
  10. 10.
    Ren W (2010) Multi-vehicle consensus with a time-varying reference state. Syst Control Lett 56(7–8):474–483Google Scholar
  11. 11.
    Cameron SR, Luca F, Jonathan P (2009) Reaching consensus with imprecise probabilities over a network. In: AIAA guidance, navigation, and control conference, Chicago, Illinois, pp 1053–1075, 10–13 AugGoogle Scholar
  12. 12.
    Fang L, Antsaklis PJ (2005) Information consensus of asynchronous discrete-time multi-agent systems. In: Proceedings of the American control conference, Portland, OR, June, pp 1883–1888Google Scholar
  13. 13.
    Dimarogonas D, Johanson KH (2008) Quantized agreement under time-varying communication topology. In: Proceedings of the 2008 American control conference, pp 4376–4381, 11–13Google Scholar
  14. 14.
    Blondel VD, Hendrickx JM, Olshevsky A, Tsitsiklis JN (2005) Converegence in multiagent coordination, consensus, and flocking. In: Proceedingds of the 44th IEEE conference on decision and control, Seville, Spain, 12–15 Dec 2005Google Scholar
  15. 15.
    Moreau L (2004) Stability of continuous-time distributed consensus algorithms. In: Proceedings of the 43th IEEE conference on decision and control, Atlantis, Paradise Island, Bahamas, pp 3998–4003Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2014

Authors and Affiliations

  1. 1.Research Institute of RoboticsHenan University of TechnologyZhengzhouChina

Personalised recommendations