Memristor is a nonlinear electronic component with memory properties, it is widely used in a
variety of nonlinear circuits for extensive adaptive control and model description of neural …

Lyapunov function provides feasible estimation and prediction of nonlinear system stability,
and useful guidance for adaptive control in chaos and synchronization approach. In case of …

In this work, we propose a new fractional-order chaotic system based on the model of 4-
neurons-based Hopfield Neural Network (HNN). By using Adomain decomposition method …

In this paper, a new four-dimensional dissipative chaotic system which can produce multiple
asymmetric attractors is designed and its dynamical behaviors are analyzed. The basin of …

Laser chaotic systems have been extensively studied and applied in the past 20 years.
However, the fractional form of the chaotic system of erbium-doped fiber laser has not been …

It is well known that chaos is unpredictability and sensitivity to initial values and parameters.
It is a best choice for cryptography application. However, the existing chaotic cryptography …

Building artificial neural network models and studying their dynamic behaviors is extremely
important from both a theoretical and practical standpoint due to the rapid advancement of …

In this work, a new discrete chaotic map is developed from the 1D ICMIC (Iterative Map with
Infinite Collapses) to control the 2D Hénon map. The performances of the proposed discrete …

In this paper, a physical Sr 0.97 Ba 0.03 TiO 3-x (SBT) memristor with the voltage threshold
characteristic was prepared. For characterizing the electrical characteristics of SBT …

Propagation and exchange of electrical signals between neurons mainly depend on the
controllability of synapses. These electrical signals will affect the dynamic characteristics of …