Complexity enhancement and grid basin of attraction in a locally active memristor-based multi-cavity map
The complexity of memristive chaotic systems determines whether it is suitable for applications in different subjects. To enhance complexity both in performance and diversity, this article first proposes a discrete model of locally active memristor (LAM) and conceives a three-dimensional memristive...
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          | Published in | Chaos, solitons and fractals Vol. 182; p. 114769 | 
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| Main Authors | , , , , | 
| Format | Journal Article | 
| Language | English | 
| Published | 
            Elsevier Ltd
    
        01.05.2024
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| Subjects | |
| Online Access | Get full text | 
| ISSN | 0960-0779 1873-2887  | 
| DOI | 10.1016/j.chaos.2024.114769 | 
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| Abstract | The complexity of memristive chaotic systems determines whether it is suitable for applications in different subjects. To enhance complexity both in performance and diversity, this article first proposes a discrete model of locally active memristor (LAM) and conceives a three-dimensional memristive multi-cavity map by coupling LAM with the existing sine and cosine modulation (SCM) map. This map is named LAM-SCM map and has numerous independent fixed points with different stabilities. Numerical simulations reveal the memristive parameters-relied lossless displacement and self-shift of multi-cavity attractors, indicating the dynamical effects of LAM on the existing SCM map. The initial-relied dynamics distributions are disclosed by grid basins of attraction, showing the emergence of initial-boosting coexistence. Besides, the performance comparisons verify the superiority of LAM-SCM map over the existing SCM map. Finally, a hardware platform has been developed on FPGA to implement the LAM-SCM map and the captured attractors validate the numerical results. On this basis, we devise a 32-bit pseudorandom number generator (PRNG) based on chaos and implement it on the FPGA-based hardware platform to obtain high-speed and reconfigurable pseudorandom numbers. The results show that the proposed map has enhanced chaos complexity and rich dynamics diversity, which ensures the availability of hardware PRNG.
•A locally active memristor-based sine and cosine modulation multi-cavity map is presented.•Multi-cavity attractors and grid basins of attraction are investigated by numerical simulations.•Performance tests and comparisons are conducted to show that the map has high randomness.•A chaos-based 32-bit pseudorandom number generator is designed and implemented on FPGA. | 
    
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| AbstractList | The complexity of memristive chaotic systems determines whether it is suitable for applications in different subjects. To enhance complexity both in performance and diversity, this article first proposes a discrete model of locally active memristor (LAM) and conceives a three-dimensional memristive multi-cavity map by coupling LAM with the existing sine and cosine modulation (SCM) map. This map is named LAM-SCM map and has numerous independent fixed points with different stabilities. Numerical simulations reveal the memristive parameters-relied lossless displacement and self-shift of multi-cavity attractors, indicating the dynamical effects of LAM on the existing SCM map. The initial-relied dynamics distributions are disclosed by grid basins of attraction, showing the emergence of initial-boosting coexistence. Besides, the performance comparisons verify the superiority of LAM-SCM map over the existing SCM map. Finally, a hardware platform has been developed on FPGA to implement the LAM-SCM map and the captured attractors validate the numerical results. On this basis, we devise a 32-bit pseudorandom number generator (PRNG) based on chaos and implement it on the FPGA-based hardware platform to obtain high-speed and reconfigurable pseudorandom numbers. The results show that the proposed map has enhanced chaos complexity and rich dynamics diversity, which ensures the availability of hardware PRNG.
•A locally active memristor-based sine and cosine modulation multi-cavity map is presented.•Multi-cavity attractors and grid basins of attraction are investigated by numerical simulations.•Performance tests and comparisons are conducted to show that the map has high randomness.•A chaos-based 32-bit pseudorandom number generator is designed and implemented on FPGA. | 
    
| ArticleNumber | 114769 | 
    
| Author | Wu, Huagan Zhang, Xi Zhao, Qianhan Bao, Bocheng Bao, Han  | 
    
| Author_xml | – sequence: 1 givenname: Qianhan surname: Zhao fullname: Zhao, Qianhan email: zhaoqh@smail.cczu.edu.cn – sequence: 2 givenname: Han surname: Bao fullname: Bao, Han – sequence: 3 givenname: Xi surname: Zhang fullname: Zhang, Xi – sequence: 4 givenname: Huagan surname: Wu fullname: Wu, Huagan – sequence: 5 givenname: Bocheng surname: Bao fullname: Bao, Bocheng email: mervinbao@126.com  | 
    
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| Keywords | Grid basin of attraction Hardware implementation Multi-cavity attractor Pseudorandom number generator Locally active memristor  | 
    
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| Snippet | The complexity of memristive chaotic systems determines whether it is suitable for applications in different subjects. To enhance complexity both in... | 
    
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| SubjectTerms | Grid basin of attraction Hardware implementation Locally active memristor Multi-cavity attractor Pseudorandom number generator  | 
    
| Title | Complexity enhancement and grid basin of attraction in a locally active memristor-based multi-cavity map | 
    
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