DocumentCode
2559499
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
fYear
2012
fDate
29-31 May 2012
Firstpage
158
Lastpage
162
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Natural Computation (ICNC), 2012 Eighth International Conference on
Conference_Location
Chongqing
ISSN
2157-9555
Print_ISBN
978-1-4577-2130-4
Type
conf
DOI
10.1109/ICNC.2012.6234686
Filename
6234686
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