@Article{JICS-11-083,
author = {Jiawei Zhou, Xingping Zhu, Jin Liu, Yi Zhai and Zuolei Wang},
title = {Tracking the State of the Hindmarsh-Rose Neuron by Using the Coullet Chaotic System Based on a Single Input},
journal = {Journal of Information and Computing Science},
year = {2024},
volume = {11},
number = {2},
pages = {083--092},
abstract = { Based  on  Lyapunov  stability  theory,  a  partial  synchronization  scheme  is  proposed  to  track  the 
signal of Hindmarsh-Rose neuron using the Coullet system via only one single controller. Summation for the 
series of error variables are employed to detect the degree of synchronization. Three cases are considered to 
verify the proposed partial synchronization scheme. To demonstrate the effectiveness of the proposed method, 
some simulation results are given. It is found that the arithmetic product of the gain coefficients dominate the 
process  and  speed  of  synchronization  of  the  two  systems.  The  larger  arithmetic  product  of  the  two  gain 
coefficients is used, the less time is required. 
},
issn = {1746-7659},
doi = {https://doi.org/},
url = {http://global-sci.org/intro/article_detail/jics/22516.html}
}