Title :
Synchronization of FitzHugh-Nagumo systems: An adaptive approach
Author :
Wei, Wei ; Zuo, Min ; Liu, Zaiwen ; Wang, Jing
Author_Institution :
Dept. of Autom. Control, Beijing Technol. & Bus. Univ., Beijing, China
Abstract :
In this article, synchronization of FitzHugh-Nagumo (FHN) neurons is considered. Adaptive controller based on active compensation is adopted to drive the slave neuron to track the master neuron. Sufficient condition for asymptotic stability of the close-loop system is derived. Numerical simulation results are given to confirm the adaptive controller is valid.
Keywords :
adaptive control; asymptotic stability; closed loop systems; compensation; neurocontrollers; numerical analysis; synchronisation; FitzHugh-Nagumo neuron system synchronisation; active compensation; adaptive approach; adaptive controller; asymptotic stability; close-loop system; master neuron tracking; numerical simulation; slave neuron; Adaptation models; Adaptive systems; Analytical models; Closed loop systems; Neurons; Numerical simulation; Synchronization; FHN neurons; adaptive; synchronization;
Conference_Titel :
Natural Computation (ICNC), 2012 Eighth International Conference on
Conference_Location :
Chongqing
Print_ISBN :
978-1-4577-2130-4
DOI :
10.1109/ICNC.2012.6234686
