• DocumentCode
    1805236
  • Title

    Robust adaptive synchronization of uncoupled FitzHugh-Nagumo neurons under disturbances and uncertain external electric stimulation

  • Author

    Rehan, Muhammad ; Hong, Keum-Shik

  • Author_Institution
    Dept. of Cogno-Mechatron. Eng., Pusan Nat. Univ., Busan, South Korea
  • fYear
    2011
  • fDate
    15-18 May 2011
  • Firstpage
    875
  • Lastpage
    879
  • Abstract
    This paper describes a nonlinear robust adaptive control for synchronization of uncoupled FitzHugh-Nagumo (FHN) neurons with uncertainty in the amplitude of stimulation current and under disturbances. First, we propose an adaptive nonlinear control for asymptotic synchronization of neurons under the uncertain amplitude of stimulation current. Then, we modify the adaptive control law to deal with bounded disturbances. Proposed robust adaptive control law ensures uniformly ultimately bounded synchronization error under uncertain stimulation and disturbances. The results of the proposed methodologies are verified through numerical simulations.
  • Keywords
    adaptive control; asymptotic stability; biocontrol; neurophysiology; nonlinear control systems; robust control; synchronisation; uncertainty handling; asymptotic synchronization; bounded disturbances; bounded synchronization error; nonlinear robust adaptive control; numerical simulation; stimulation current; uncertain amplitude; uncertain external electric stimulation; uncoupled FitzHugh-Nagumo neuron synchronization; Adaptive control; Chaos; Fractals; Neurons; Robustness; Solitons; Synchronization; FitzHugh-Nagumo (FHN) neurons; adaptive control; chaos synchronization; external electrical stimulation (EES); robust adaptive control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control Conference (ASCC), 2011 8th Asian
  • Conference_Location
    Kaohsiung
  • Print_ISBN
    978-1-61284-487-9
  • Electronic_ISBN
    978-89-956056-4-6
  • Type

    conf

  • Filename
    5899187