Inducing multistability in discrete chaotic systems using numerical integration with variable symmetry
Multistability is an inherent property of many nonlinear dynamical systems. However, finding
exact conditions where a certain nonlinear system is multistable, is a complex problem. In …
exact conditions where a certain nonlinear system is multistable, is a complex problem. In …
Estimating Optimal Synchronization Parameters for Coherent Chaotic Communication Systems in Noisy Conditions
It is known, that coherent chaotic communication systems are more vulnerable to noise in
the transmission channel than conventional communications. Among the methods of noise …
the transmission channel than conventional communications. Among the methods of noise …
Empirically developed model of the stirring-controlled Belousov–Zhabotinsky reaction
Abstract The Belousov–Zhabotinsky chemical reaction is famous for its oscillatory behavior
occurring due to inherent physicochemical processes. Oscillations of the Belousov …
occurring due to inherent physicochemical processes. Oscillations of the Belousov …
Understanding Chua system from the perspective of Duffing
G Cheng, R Gui - Chaos, Solitons & Fractals, 2024 - Elsevier
The generation methods and structure of the multi-scroll chaotic attractors in both the Chua
system and the Duffing equation exhibit remarkable similarities, suggesting a potential …
system and the Duffing equation exhibit remarkable similarities, suggesting a potential …
Mechanical chaotic duffing system with magnetic springs
Mechanical systems with inherent chaotic behavior are of notable practical interest due to
their applicability in many fields of technology, from industrial mills and concrete mixers to …
their applicability in many fields of technology, from industrial mills and concrete mixers to …
Polarization Orientation Method Based on Remote Sensing Image in Cloudy Weather
J Luo, S Zhou, Y Li, Y Pang, Z Wang, Y Lu, H Wang… - Remote Sensing, 2023 - mdpi.com
Autonomous navigation technology is a core technology for intelligent operation, allowing
the vehicles to perform tasks without relying on external information, which effectively …
the vehicles to perform tasks without relying on external information, which effectively …
CMOS design of chaotic systems using biquadratic OTA-C filters
E Juarez-Mendoza, FA del Angel-Diaz… - Journal of Low Power …, 2024 - mdpi.com
This manuscript shows the CMOS design of Lorenz systems using operational
transconductance amplifiers (OTAs). Two Lorenz systems are then synchronized in a master …
transconductance amplifiers (OTAs). Two Lorenz systems are then synchronized in a master …
Multilayer Perceptron Network Optimization for Chaotic Time Series Modeling
M Qiao, Y Liang, A Tavares, X Shi - Entropy, 2023 - mdpi.com
Chaotic time series are widely present in practice, but due to their characteristics—such as
internal randomness, nonlinearity, and long-term unpredictability—it is difficult to achieve …
internal randomness, nonlinearity, and long-term unpredictability—it is difficult to achieve …
Approximate Closed-Form Solutions for a Class of 3D Dynamical Systems Involving a Hamilton–Poisson Part
The goal of this paper is to build some approximate closed-form solutions for a class of
dynamical systems involving a Hamilton–Poisson part. The chaotic behaviors are neglected …
dynamical systems involving a Hamilton–Poisson part. The chaotic behaviors are neglected …
Advances in nonlinear systems and networks, volume II
Nonlinear systems and networks refer to physical, chemical, biological, or engineering
systems and networks that have nonlinear relationships within them. Compared to linear …
systems and networks that have nonlinear relationships within them. Compared to linear …