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Complex dynamics induced by a sine nonlinearity in a five-term chaotic system: FPGA hardware design and
Paul Didier Kamdem Kuate1, Hilaire Fotsin1
1Laboratory of Condensed Matter, Electronics and Signal Processing, Department of Physics, University of Dschang, P.O. Box 067, Dschang, Cameroon.
A novel five-term chaotic model, built on sine nonlinearity, exhibits complex dynamics and generates numerous coexisting attractors. Its implementation feasibility for chaos-based applications is demonstrated.
Area of Science:
- Nonlinear Dynamics and Chaos Theory
- Complex Systems Analysis
- Mathematical Modeling
Background:
- The Rössler prototype-4 equations serve as a foundation for exploring complex dynamical systems.
- Sine nonlinearity offers a unique approach to designing chaotic models with simplified structures.
- Understanding chaotic behavior is crucial for developing advanced applications in various fields.
Purpose of the Study:
- To introduce a new five-term chaotic model derived from the Rössler prototype-4 equations.
- To analyze the complex dynamics of the proposed system using established nonlinear tools.
- To investigate the model's potential for practical applications through implementation studies.
Main Methods:
- Derivation of a novel five-term chaotic system utilizing sine nonlinearity.
- Analysis of system dynamics through bifurcation diagrams, Lyapunov exponents spectra, and frequency power spectra.
- Examination of basins of attraction to understand coexisting attractors.
Main Results:
- The proposed model exhibits elegant algebraic simplicity while displaying complex chaotic dynamics.
- The system can generate infinitely many identical chaotic attractors and limit cycles.
- Up to six nontrivial coexisting attractors were observed, demonstrating rich dynamic behavior.
- Feasibility for analog and digital chaos-based applications was confirmed through circuit and FPGA implementation discussions.
Conclusions:
- The new chaotic model offers a unique combination of simplicity and complex dynamics.
- Its adjustable equilibrium points and ability to generate multiple attractors make it versatile.
- The demonstrated implementation potential highlights its suitability for real-world chaos-based engineering applications.
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