scholarly journals Electro-optic chaos system with time delay signature concealment based on XOR operation and multi-bit PRBS

2021 ◽  
Vol 29 (5) ◽  
pp. 7327
Author(s):  
Guoyang Zou ◽  
Hongxiang Wang ◽  
Yuefeng Ji
Keyword(s):  
Time Delay ◽  
Electro Optic ◽  
Xor Operation ◽  
Chaos System ◽  
System With Time Delay

Time-Delay Concealment in a Three-Dimensional Electro-Optic Chaos System

2015 ◽  
Vol 27 (9) ◽  
pp. 1030-1033 ◽  
Author(s):  
Mengfan Cheng ◽  
Xiaojing Gao ◽  
Lei Deng ◽  
Lingfeng Liu ◽  
Yashuang Deng ◽  
...  
Keyword(s):  
Time Delay ◽  
Three Dimensional ◽  
Electro Optic ◽  
Chaos System

scholarly journals An Optically Coupled Electro-Optic Chaos System With Suppressed Time-Delay Signature

2017 ◽  
Vol 9 (3) ◽  
pp. 1-9 ◽  
Author(s):  
Xinhua Zhu ◽  
Mengfan Cheng ◽  
Lei Deng ◽  
XingXing Jiang ◽  
Changjian Ke ◽  
...  
Keyword(s):  
Time Delay ◽  
Electro Optic ◽  
Chaos System

Design of Master's Position Controller for Bilateral Control System with Time Delay

2015 ◽  
Vol 135 (3) ◽  
pp. 268-275 ◽  
Author(s):  
Daisuke Yashiro ◽  
Tadashi Hieno ◽  
Kazuhiro Yubai ◽  
Satoshi Komada
Keyword(s):  
Control System ◽  
Time Delay ◽  
Bilateral Control ◽  
Position Controller ◽  
System With Time Delay

scholarly journals A time delay dynamical model for outbreak of 2019-nCoV and the parameter identification

2020 ◽  
Vol 28 (2) ◽  
pp. 243-250 ◽  
Author(s):  
Yu Chen ◽  
Jin Cheng ◽  
Yu Jiang ◽  
Keji Liu
Keyword(s):  
Dynamical System ◽  
Time Delay ◽  
Parameter Identification ◽  
Typical Feature ◽  
The Novel ◽  
Isolation Rate ◽  
High Isolation ◽  
The Government ◽  
System With Time Delay ◽  
Official Data

AbstractIn this paper, we propose a novel dynamical system with time delay to describe the outbreak of 2019-nCoV in China. One typical feature of this epidemic is that it can spread in the latent period, which can therefore be described by time delay process in the differential equations. The accumulated numbers of classified populations are employed as variables, which is consistent with the official data and facilitates the parameter identification. The numerical methods for the prediction of the outbreak of 2019-nCoV and parameter identification are provided, and the numerical results show that the novel dynamic system can well predict the outbreak trend so far. Based on the numerical simulations, we suggest that the transmission of individuals should be greatly controlled with high isolation rate by the government.

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