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Constructing multi-butterfly attractors based on Sprott C system via non-autonomous approaches
Qiujie Wu1, Qinghui Hong1, Xiaoyang Liu1
1School of Artificial Intelligence and Automation, Huazhong University of Science and Technology, Wuhan 430074, China.
This study introduces two pulse control methods to create multi-butterfly attractors in the Sprott C system, offering adjustable complexity for hidden attractor research.
Area of Science:
- Nonlinear Dynamics
- Chaos Theory
- Complex Systems
Background:
- The Sprott C system is a well-known chaotic system.
- Generating complex attractors like multi-butterfly attractors is an active research area.
- Hidden attractors, lacking equilibrium points, present unique analytical challenges.
Purpose of the Study:
- To propose novel pulse control methods for generating multi-butterfly attractors.
- To investigate the creation of both translational and nested hidden multi-butterfly attractors.
- To demonstrate the flexibility and tunability of the proposed methods.
Main Methods:
- Introducing bipolar and unipolar multilevel pulse signals to the Sprott C system.
- Transforming non-autonomous systems into autonomous systems by including time as a state variable.
- Analyzing systems with no equilibria, characteristic of hidden attractors.
- Providing a normalized circuit implementation for validation.
Main Results:
- Successfully generated translational multi-butterfly attractors with constant Lyapunov exponents.
- Achieved nested multi-butterfly attractors through the superposition of attractors with varying pulse amplitudes.
- Demonstrated that the number of butterflies can be controlled by adjusting pulse voltage sources.
- Confirmed the existence of hidden multi-butterfly attractors in the circuit implementation.
Conclusions:
- The proposed pulse control methods effectively generate multi-butterfly hidden attractors.
- The methods offer a flexible approach to control attractor complexity without altering nonlinear functions.
- The findings contribute to the understanding and application of complex dynamical systems.
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