Adaptive synchronization for nonlinear FitzHugh-Nagumo neurons in external electrical stimulation

Chung Wen Lai, Chang Kuo Chen, Teh-Lu Liao, Jun Juh Yan

研究成果: Article同行評審

11 引文 斯高帕斯(Scopus)

摘要

This paper investigates the synchronization problem for FitzHugh-Nagumo (FHN) neurons in external electrical stimulations. Using the sliding mode control technique, an adaptive control law is established that guarantees synchronization even when the parameters of the master and slave FHN neurons are fully unknown. A proportional-integral switching surface is introduced to simplify the task of assigning the stability of the closed-loop error system in the sliding mode. Furthermore, the proposed synchronization scheme is then applied to a secure communication system. Computer simulations are provided to verify the effectiveness of the proposed adaptive synchronization scheme.

原文English
頁(從 - 到)833-844
頁數12
期刊International Journal of Adaptive Control and Signal Processing
22
發行號9
DOIs
出版狀態Published - 2008 十一月 1

All Science Journal Classification (ASJC) codes

  • 控制與系統工程
  • 訊號處理
  • 電氣與電子工程

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