LAG SYNCHRONIZATION OF BURSTING NEURON SYSTEMS WITH STOCHASTIC PERTURBATION VIA ADAPTIVE FEEDBACK CONTROL-Reference-Cited by-同舟云学术

LAG SYNCHRONIZATION OF BURSTING NEURON SYSTEMS WITH STOCHASTIC PERTURBATION VIA ADAPTIVE FEEDBACK CONTROL

Published:2014-02-20 Issue:07 Volume:28 Page:1450022
ISSN:0217-9792
Container-title:International Journal of Modern Physics B
language:en
Short-container-title:Int. J. Mod. Phys. B

Author:

WANG ZUO-LEI¹²,SHI XUE-RONG²,JIANG YAOLIN¹

Affiliation:

1. College of Mathematics and System Sciences, Xinjiang University, Urumqi 830046, P. R. China

2. School of Mathematical Sciences, Yancheng Teachers University, Yancheng, 224002, P. R. China

Abstract

Lag synchronization of bursting neuron systems is explored when the system is subjected to stochastic perturbation. An adaptive feedback control scheme is presented when the parameters of the neuron systems are unknown. At the same time, an adaptive control law is obtained via theoretical derivation so that two slightly mismatched chaotic systems achieved asymptotically lag synchronization. The effectiveness of the proposed scheme is not only confirmed by theoretical analysis, but also verified by numerical simulations.

Publisher

World Scientific Pub Co Pte Lt

Subject

Condensed Matter Physics,Statistical and Nonlinear Physics

Link

https://www.worldscientific.com/doi/pdf/10.1142/S0217979214500222

Reference19 articles.

1. Synchronization of Bursting Neurons: What Matters in the Network Topology

2. Spiking Neuron Models

3. Synchronous Behavior of Two Coupled Biological Neurons

4. Chaotic synchronization and control in nonlinear-coupled Hindmarsh–Rose neural systems

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