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Related Experiment Video

Updated: Mar 17, 2026

A Method for Growing Bio-memristors from Slime Mold

A Method for Growing Bio-memristors from Slime Mold

Published on: November 2, 2017

Extreme multistability in a memristor-based multi-scroll hyper-chaotic system.

Fang Yuan¹, Guangyi Wang¹, Xiaowei Wang²

¹Institute of Modern Circuits and Intelligent Information, Hangzhou Dianzi University, Hangzhou 310018, China.

Chaos (Woodbury, N.Y.)

|August 1, 2016

Summary

This study introduces a novel memristor-based hyper-chaotic system exhibiting extreme multistability and diverse attractors. The system

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Area of Science:

Nonlinear Dynamics
Chaos Theory
Memristor Applications

Background:

Memristors are crucial for developing advanced electronic systems.
Hyper-chaotic systems display complex dynamics, essential for secure communications and modeling.

Purpose of the Study:

To design and analyze a new memristor-based multi-scroll hyper-chaotic system.
To investigate its complex dynamic behaviors, including extreme multistability and coexisting attractors.

Main Methods:

Numerical simulations to explore system dynamics.
Analysis of equilibrium points, stability, bifurcation diagrams, and Lyapunov exponents.
Analog circuit implementation for validation.

Main Results:

The designed system exhibits multiple complex dynamic behaviors and extreme multistability.
Observed various coexisting and hidden coexisting attractors.
Demonstrated tunability for single, double, and four-scroll attractors by adjusting parameters.
Numerical simulations were validated through analog circuit realization.

Conclusions:

The proposed memristor-based system offers rich dynamical properties.
It shows potential for applications requiring complex chaotic behaviors and extreme multistability.
The analog circuit confirms the system's feasibility and numerical accuracy.