| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 1890307 | Chaos, Solitons & Fractals | 2007 | 9 Pages |
Abstract
In this paper, synchronization dynamics of two FitzHugh–Nagumo neurons electrically coupled with gap junction in external electrical stimulation is studied. In order to synchronize all state variables in the neuron system, we regard the nonlinear feedback system as a multi-input multi-output (MIMO) system. Then, a MIMO decoupling feedback linearization algorithm and an adaptive strategy are introduced respectively to design the synchronization controllers for the two coupled neurons. Numerical simulations demonstrate the effectiveness of the developed methods.
Related Topics
Physical Sciences and Engineering
Physics and Astronomy
Statistical and Nonlinear Physics
Authors
Ting Zhang, Jiang Wang, Xiangyang Fei, Bin Deng,