Title :
Bifurcation Control for a Neuron Model
Author_Institution :
Sch. of Inf. & Commun. Eng., Tianjin Polytech. Univ., Tianjin, China
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;
Conference_Titel :
Control, Automation and Systems Engineering (CASE), 2011 International Conference on
Conference_Location :
Singapore
Print_ISBN :
978-1-4577-0859-6
DOI :
10.1109/ICCASE.2011.5997540