• DocumentCode
    619788
  • Title

    Pinning adaptive and impulsive synchronization of stochastic uncertain complex dynamical networks

  • Author

    Guan-Sheng Wang ; Jiang-Wen Xiao

  • Author_Institution
    Dept. of Control Sci. & Eng., Huazhong Univ. of Sci. & Technol., Wuhan, China
  • fYear
    2013
  • fDate
    25-27 May 2013
  • Firstpage
    720
  • Lastpage
    725
  • Abstract
    In this paper, the global exponential synchronization of stochastic complex dynamical networks with uncertain coupling is mainly discussed. Pinning adaptive and impulsive strategies are employed by adaptive control theory and impulsive control theory. Some sufficient criteria for the exponential synchronization of stochastic complex dynamical networks are derived by Laypunov function as well as the comparison principle of impulsive differential equation. An effective method is given to select the nodes which should be controlled at each impulsive instant and less conservativeness is permitted due to the use of the average impulsive time. At last, a numerical simulation is given to illustrate the correctness and effectiveness of the theoretical results.
  • Keywords
    Lyapunov methods; adaptive control; differential equations; large-scale systems; stochastic systems; uncertain systems; Lyapunov function; adaptive control theory; global exponential synchronization; impulsive control theory; impulsive differential equation; impulsive synchronization; numerical simulation; pinning adaptive synchronization; stochastic uncertain complex dynamical networks; uncertain coupling; Adaptive control; Couplings; Indexes; Noise; Synchronization; Vectors; Pinning adaptive and impulsive control; stochastic complex dynamical networks; synchronization; uncertain coupling;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control and Decision Conference (CCDC), 2013 25th Chinese
  • Conference_Location
    Guiyang
  • Print_ISBN
    978-1-4673-5533-9
  • Type

    conf

  • DOI
    10.1109/CCDC.2013.6561017
  • Filename
    6561017