• DocumentCode
    550500
  • Title

    The optimal filtering for a class of local strongly coupled systems

  • Author

    Lu Jun ; Cai Yunze ; Xu Li ; Xu Xiaoming

  • Author_Institution
    Dept. of Autom., Shanghai Jiao Tong Univ., Shanghai, China
  • fYear
    2011
  • fDate
    22-24 July 2011
  • Firstpage
    1372
  • Lastpage
    1376
  • Abstract
    This paper addresses the optimal filtering problem for a kind of local strongly coupled systems. We introduce a local strongly coupled system with communication between the nodes. Applying the standard kalman filter design procedures to such systems is difficult because of transmission delay and intermittent communication. By using the stochastic theory and state augmentation technique, we present the optimal filtering problem in terms of the full system dynamics. The numerical simulations not only show the effectiveness of the proposed filtering method, but also illustrate the complex random phenomenon in local strongly coupled systems.
  • Keywords
    Kalman filters; delays; stochastic processes; Kalman filter; local strongly coupled systems; optimal filtering; state augmentation technique; stochastic theory; transmission delay; Conferences; Covariance matrix; Delay; Kalman filters; Mathematical model; Robot sensing systems; Kalman Filter; Local Strongly Coupled Systems; Transmission Delay;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control Conference (CCC), 2011 30th Chinese
  • Conference_Location
    Yantai
  • ISSN
    1934-1768
  • Print_ISBN
    978-1-4577-0677-6
  • Electronic_ISBN
    1934-1768
  • Type

    conf

  • Filename
    6000839