• DocumentCode
    1797656
  • Title

    Exponential synchronization for a class of networked linear parabolic PDE systems via boundary control

  • Author

    Jun-Wei Wang ; Cheng-Dong Yang ; Chang-Yin Sun

  • Author_Institution
    Sch. of Autom. & Electr. Eng., Univ. of Sci. & Technol. Beijing, Beijing, China
  • fYear
    2014
  • fDate
    6-11 July 2014
  • Firstpage
    3981
  • Lastpage
    3986
  • Abstract
    This paper addresses the problem of exponential synchronization via boundary control for a class of networked linear spatiotemporal dynamical networks consisting of N identical nodes, in which the spatiotemporal behavior of the each node is described by parabolic partial differential equations (PDEs). The purpose of this paper is to design boundary controllers ensuring the exponential synchronization of the networked parabolic PDE system. To do this, Lyapunov´s direct method, the vector-valued Wirtinger´s inequality, and the technique of integration by parts are employed. A sufficient condition on the existence of the boundary controllers is developed in term of standard of linear matrix inequality (LMI). Finally, numerical simulation results on a numerical example are presented to illustrate the effectiveness of the proposed design method.
  • Keywords
    Lyapunov methods; control system synthesis; linear matrix inequalities; linear systems; networked control systems; parabolic equations; partial differential equations; spatiotemporal phenomena; synchronisation; LMI; Lyapunov direct method; boundary controller design; exponential synchronization; identical nodes; linear matrix inequality; networked linear parabolic PDE systems; networked linear spatiotemporal dynamical networks; numerical simulation; parabolic partial differential equations; spatiotemporal behavior; vector-valued Wirtinger inequality; Design methodology; Educational institutions; Linear matrix inequalities; Spatiotemporal phenomena; Sufficient conditions; Symmetric matrices; Synchronization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Networks (IJCNN), 2014 International Joint Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4799-6627-1
  • Type

    conf

  • DOI
    10.1109/IJCNN.2014.6889559
  • Filename
    6889559