Multi-scroll chaotic attractors and Poincaré maps via oscillating Gaussian potential
Mengran Li,
Yunjie Tang,
Qian Chen,
Chengyue Zhang,
Rong Gui () and
Guanghui Cheng
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Mengran Li: Huazhong Agricultural University, College of Engineering
Yunjie Tang: Huazhong Agricultural University, College of Engineering
Qian Chen: Huazhong Agricultural University, College of Engineering
Chengyue Zhang: Huazhong Agricultural University, College of Engineering
Rong Gui: Huazhong Agricultural University, College of Engineering
Guanghui Cheng: Wuhan Polytechnic University, School of Electrical and Electronic Engineering
The European Physical Journal B: Condensed Matter and Complex Systems, 2025, vol. 98, issue 11, 1-15
Abstract:
Abstract Designing chaotic systems based on the physical mechanism to generate controllable chaotic attractors with specific structures is instrumental in advancing our understanding of chaotic dynamics and promoting engineering applications. By introducing the oscillating Gaussian potential, a novel Duffing system is developed, in which the stability of equilibrium points undergoes periodic alternation. This alternation effectively increases the total number of both stable and unstable points, thereby leading to the generation of additional scrolls in the chaotic attractor. Leveraging the physical interpretability of the Duffing framework, the number of scrolls can be controlled by tuning key parameters, including the potential difference, oscillation amplitude and frequency, and damping coefficient, as confirmed by bifurcation analysis. The Poincaré maps exhibit a multi-scroll structure that evolves synchronously with the potential well oscillation, demonstrating the unique dynamic behavior induced by alternating equilibrium points. In this regime, particles are successively attracted and repelled as the equilibrium points periodically switch between stable and unstable states. The system also exhibits both homogeneous and heterogeneous multistability. Finally, our results were verified through hardware experiments based on microcontrollers. Graphical abstract
Date: 2025
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DOI: 10.1140/epjb/s10051-025-01090-2
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