• DocumentCode
    1698923
  • Title

    Controlled synchronization of complex dynamical networks with nonlinear nodes and couplings

  • Author

    Liu, Tao ; Dimirovski, Georgi M. ; Zhao, Jun

  • Author_Institution
    Key Lab. for Integrated Autom. of Process Ind. - Minist. of Educ., Northeastern Univ., Shenyang, China
  • fYear
    2009
  • Firstpage
    240
  • Lastpage
    245
  • Abstract
    Synchronization problem for a class of complex networks consisting of N nonlinear dynamical nodes that are nonlinearly and diffusively coupled is solved in here. The global synchronization of such networks is investigated via Lyapunov stability theory. Under assumptions that measurements full state vectors of each node are available and coupling coefficients are known, a family of decentralized nonlinear feedback controllers are designed to globally synchronize the network system. When coupling coefficients are unavailable, an adaptive mechanism is introduced to synthesize a family of decentralized adaptive controllers which guarantee the global synchronization. An illustrative example with Lorenz node systems along with the respective computer simulation results is given to demonstrate the effectiveness of the proposed solution to controlled synchronization.
  • Keywords
    Lyapunov methods; adaptive control; decentralised control; feedback; large-scale systems; nonlinear control systems; nonlinear dynamical systems; synchronisation; Lorenz node systems; Lyapunov stability theory; adaptive mechanism; complex dynamical networks; controlled synchronization; coupling coefficients; decentralized adaptive controllers; decentralized nonlinear feedback controllers; global synchronization; nonlinear nodes; Adaptive control; Cellular neural networks; Communication networks; Communication system control; Complex networks; Control systems; Couplings; Lyapunov method; Nonlinear control systems; Programmable control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control Applications, (CCA) & Intelligent Control, (ISIC), 2009 IEEE
  • Conference_Location
    St. Petersburg
  • Print_ISBN
    978-1-4244-4601-8
  • Electronic_ISBN
    978-1-4244-4602-5
  • Type

    conf

  • DOI
    10.1109/CCA.2009.5280721
  • Filename
    5280721