Discretization, bifurcation analysis and chaos control for Schnakenberg model

2020 ◽  
Vol 58 (8) ◽  
pp. 1615-1649
Author(s):  
Qamar Din ◽  
Kamran Haider
Keyword(s):  
Bifurcation Analysis ◽  
Chaos Control ◽  
Schnakenberg Model

scholarly journals Bifurcation analysis and chaos control in discrete-time modified Leslie–Gower prey harvesting model

2020 ◽  
Vol 2020 (1) ◽  
Author(s):  
Muhammad Bilal Ajaz ◽  
Umer Saeed ◽  
Qamar Din ◽  
Irfan Ali ◽  
Muhammad Israr Siddiqui
Keyword(s):  
Discrete Time ◽  
Bifurcation Analysis ◽  
Chaos Control

scholarly journals Analysis and control of the fractional chaotic Hopfield neural network

2021 ◽  
Vol 2021 (1) ◽  
Author(s):  
Emad E. Mahmoud ◽  
Lone Seth Jahanzaib ◽  
Pushali Trikha ◽  
Omar A. Almaghrabi
Keyword(s):  
Neural Network ◽  
Bifurcation Analysis ◽  
Chaos Control ◽  
Hopfield Neural Network ◽  
Activation Function ◽  
Neuron Activation ◽  
Long Time ◽  
Uniqueness Of The Solution ◽  
And Control ◽  
Adaptive Smc

AbstractThe fractional Hopfield neural network (HNN) model is studied here analyzing its symmetry, uniqueness of the solution, dissipativity, fixed points etc. A Lyapunov and bifurcation analysis of the system is done for specific as well as variable fractional order. Since a very long time ago, HNN has been carefully studied and applied in various fields. Because of the exceptional non-linearity of the neuron activation function, the HNN system is stoutly non-linear. Chaos control using adaptive SMC considering disturbances and uncertainties is done about randomly chosen points by designing suitable controllers. Numerical simulations performed in MATLAB verify the efficacy of the designed controllers.

Bifurcation analysis of reaction–diffusion Schnakenberg model

2013 ◽  
Vol 51 (8) ◽  
pp. 2001-2019 ◽  
Author(s):  
Ping Liu ◽  
Junping Shi ◽  
Yuwen Wang ◽  
Xiuhong Feng
Keyword(s):  
Bifurcation Analysis ◽  
Reaction Diffusion ◽  
Schnakenberg Model
Sign in / Sign up

Export Citation Format

Share Document