A Fractional-Order Chaotic System With Infinite Attractor Coexistence and its DSP Implementation
In this article, the fractional calculus is introduced into a simplest memristive circuit to construct a new four-dimensional fractional-order chaotic system. Combining conformable differential definition and Adomian decomposition method (ADM) algorithm is used to solve the numerical solution of the...
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| Published in | IEEE access Vol. 8; pp. 199852 - 199863 |
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| Main Authors | , , , |
| Format | Journal Article |
| Language | English |
| Published |
Piscataway
IEEE
2020
The Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subjects | |
| Online Access | Get full text |
| ISSN | 2169-3536 2169-3536 |
| DOI | 10.1109/ACCESS.2020.3035368 |
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| Abstract | In this article, the fractional calculus is introduced into a simplest memristive circuit to construct a new four-dimensional fractional-order chaotic system. Combining conformable differential definition and Adomian decomposition method (ADM) algorithm is used to solve the numerical solution of the system. The attractor coexistence of the fractional-order system is investigated from the attractor phase diagram, coexistence bifurcation model, coexistence Lyapunov exponent spectrum and attractor basin. In addition, the hardware circuit of the system is implemented on the DSP platform. The simulation results show that the fractional-order chaotic system exhibits rich dynamic characteristics. In particular, the initial value of the system could control the offset, amplitude and frequency of the attractor better, and increase the complexity and randomness of the chaotic sequences. The research provides theoretical basis and guidance for the applications of fractional-order chaotic system. |
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| AbstractList | In this article, the fractional calculus is introduced into a simplest memristive circuit to construct a new four-dimensional fractional-order chaotic system. Combining conformable differential definition and Adomian decomposition method (ADM) algorithm is used to solve the numerical solution of the system. The attractor coexistence of the fractional-order system is investigated from the attractor phase diagram, coexistence bifurcation model, coexistence Lyapunov exponent spectrum and attractor basin. In addition, the hardware circuit of the system is implemented on the DSP platform. The simulation results show that the fractional-order chaotic system exhibits rich dynamic characteristics. In particular, the initial value of the system could control the offset, amplitude and frequency of the attractor better, and increase the complexity and randomness of the chaotic sequences. The research provides theoretical basis and guidance for the applications of fractional-order chaotic system. |
| Author | Yan, Huizhen Mou, Jun Yu, Jiawu Liu, Tianming |
| Author_xml | – sequence: 1 givenname: Tianming surname: Liu fullname: Liu, Tianming organization: School of Information Science and Engineering, Dalian Polytechnic University, Dalian, China – sequence: 2 givenname: Jiawu orcidid: 0000-0002-6056-6634 surname: Yu fullname: Yu, Jiawu email: yujiawu_dlpu@sina.com organization: School of Information Science and Engineering, Dalian Polytechnic University, Dalian, China – sequence: 3 givenname: Huizhen surname: Yan fullname: Yan, Huizhen organization: School of Information Science and Engineering, Dalian Polytechnic University, Dalian, China – sequence: 4 givenname: Jun orcidid: 0000-0002-7774-2833 surname: Mou fullname: Mou, Jun organization: School of Information Science and Engineering, Dalian Polytechnic University, Dalian, China |
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| SubjectTerms | Algorithms Bifurcation Bifurcations CADM algorithm Chaos theory chaotic degradation Circuits coexistence of infinite attractors Complexity theory DSP implement Dynamic characteristics Fractional calculus Fractional-order chaotic system Frequency control Liapunov exponents Numerical stability Phase diagrams Simulation Stability analysis System performance |
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| Title | A Fractional-Order Chaotic System With Infinite Attractor Coexistence and its DSP Implementation |
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