IDEAS home Printed from https://ideas.repec.org/a/taf/tsysxx/v44y2013i6p995-1005.html
   My bibliography  Save this article

Mean square average-consensus for multi-agent systems with measurement noise and time delay

Author

Listed:
  • Fenglan Sun
  • Zhi-Hong Guan
  • Li Ding
  • Yan-Wu Wang

Abstract

Mean square average consensus for multi-agent systems with measurement noise and time delay under fixed digraph is studied in this article. The time-varying consensus-gain is introduced to attenuate the measurement noise. By combining the tools of algebraic graph theory, matrix theory and stochastic analysis, consensus protocols for multi-agent systems with measurement noise and time delay are elaborately analysed. The example and simulation results are given to illustrate the effectiveness of the obtained theoretical results. Moreover, the simulations demonstrate that, the proper consensus-gain function in the consensus protocol is the necessary and sufficient condition for the convergence of the multi-agent systems.

Suggested Citation

  • Fenglan Sun & Zhi-Hong Guan & Li Ding & Yan-Wu Wang, 2013. "Mean square average-consensus for multi-agent systems with measurement noise and time delay," International Journal of Systems Science, Taylor & Francis Journals, vol. 44(6), pages 995-1005.
  • Handle: RePEc:taf:tsysxx:v:44:y:2013:i:6:p:995-1005
    DOI: 10.1080/00207721.2011.652221
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/00207721.2011.652221
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/00207721.2011.652221?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Bin Hu & Zhi-Hong Guan & Rui-Quan Liao & Ding-Xue Zhang & Gui-Lin Zheng, 2015. "Consensus-based distributed optimisation of multi-agent networks via a two level subgradient-proximal algorithm," International Journal of Systems Science, Taylor & Francis Journals, vol. 46(7), pages 1307-1318, May.
    2. Sabir Djaidja & Qinghe Wu, 2015. "Leader-following consensus for single-integrator multi-agent systems with multiplicative noises in directed topologies," International Journal of Systems Science, Taylor & Francis Journals, vol. 46(15), pages 2788-2798, November.
    3. Lei Liu & Jinjun Shan, 2017. "robust synchronisation of nonlinear multi-agent systems with sampled-data information," International Journal of Systems Science, Taylor & Francis Journals, vol. 48(1), pages 138-149, January.
    4. Sun, Fenglan & Wang, Rui & Zhu, Wei & Li, Yongfu, 2019. "Flocking in nonlinear multi-agent systems with time-varying delay via event-triggered control," Applied Mathematics and Computation, Elsevier, vol. 350(C), pages 66-77.
    5. Hongwen Ma & Derong Liu & Ding Wang & Biao Luo, 2016. "Bipartite output consensus in networked multi-agent systems of high-order power integrators with signed digraph and input noises," International Journal of Systems Science, Taylor & Francis Journals, vol. 47(13), pages 3116-3131, October.
    6. Yilun Shang, 2015. "Group consensus of multi-agent systems in directed networks with noises and time delays," International Journal of Systems Science, Taylor & Francis Journals, vol. 46(14), pages 2481-2492, October.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:taf:tsysxx:v:44:y:2013:i:6:p:995-1005. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/TSYS20 .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.