DocumentCode :
2951686
Title :
Bifurcation Control for a Neuron Model
Author :
Ding LiYa
Author_Institution :
Sch. of Inf. & Commun. Eng., Tianjin Polytech. Univ., Tianjin, China
fYear :
2011
fDate :
30-31 July 2011
Firstpage :
1
Lastpage :
4
Abstract :
Bifurcation refers to qualitative changes in the solution structure of dynamical systems occurring with slight variation in system parameters. Bifurcation would occur in FitzHugh-Nagumo (FHN) model and many diseases are closely linked to a variety of bifurcations of nervous system. In this paper, washout filter aided control laws are developed for regulating the oscillation amplitude of the bifurcated limit cycle. Control term can be deduced according to centre manifold and normal form theory. Moreover, simulation results show that controllers are effective and flexible.
Keywords :
bifurcation; limit cycles; medical control systems; neurocontrollers; neurophysiology; oscillations; FHN model; FitzHugh-Nagumo model; bifurcated limit cycle; bifurcation control; centre manifold; dynamical systems; nervous system; neuron model; normal form theory; oscillation amplitude; qualitative change; system parameter; washout filter aided control law; Bifurcation; Chaos; Feedback control; Jacobian matrices; Limit-cycles; Mathematical model; Neurons;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control, Automation and Systems Engineering (CASE), 2011 International Conference on
Conference_Location :
Singapore
Print_ISBN :
978-1-4577-0859-6
Type :
conf
DOI :
10.1109/ICCASE.2011.5997540
Filename :
5997540
Link To Document :
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