• DocumentCode
    3534257
  • Title

    Sparse distributed observers for a network of dynamical systems

  • Author

    Edwards, Chris ; Menon, Prathyush P.

  • Author_Institution
    Coll. of Eng., Math. & Phys. Sci., Univ. of Exeter, Exeter, UK
  • fYear
    2013
  • fDate
    10-13 Dec. 2013
  • Firstpage
    4883
  • Lastpage
    4888
  • Abstract
    In this paper, a distributed observer structure is proposed to estimate the states of a large scale network of linear time invariant systems coupled with a positive, time varying coupling strength. The distributed observer comprises distinct sub-observers which require only local node level information and exchange their local state estimates with their `neighbouring´ observers. The key idea here is to use a minimum number, or at least relatively few, measurements from the network being monitored to reduce the sensor requirements. The problem is formulated as a two stage optimisation problem. The proposed approach is demonstrated with numerical examples of varying complexity.
  • Keywords
    computational complexity; large-scale systems; linear systems; network theory (graphs); observers; optimisation; time-varying systems; dynamical system network; large scale network; linear time invariant systems; local node level information; local state estimate exchange; neighbouring observers; positive time varying coupling strength; sensor requirements; sparse distributed observer structure; subobservers; two-stage optimisation problem; varying complexity; Gain measurement; Gold;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Decision and Control (CDC), 2013 IEEE 52nd Annual Conference on
  • Conference_Location
    Firenze
  • ISSN
    0743-1546
  • Print_ISBN
    978-1-4673-5714-2
  • Type

    conf

  • DOI
    10.1109/CDC.2013.6760655
  • Filename
    6760655