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 inChaos, solitons and fractals Vol. 182; p. 114769
Main Authors Zhao, Qianhan, Bao, Han, Zhang, Xi, Wu, Huagan, Bao, Bocheng
Format Journal Article
LanguageEnglish
Published Elsevier Ltd 01.05.2024
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ISSN0960-0779
1873-2887
DOI10.1016/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.
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
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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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elsevier
SourceType Enrichment Source
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StartPage 114769
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
URI https://dx.doi.org/10.1016/j.chaos.2024.114769
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