Journal article
A class of memristive Hénon maps
- Abstract:
- Memristor, the electronic component, is introduced in the Hénon map and is studied extensively. Several chaotic maps are proposed by constructing the memristors through nonlinear functions such as absolute value functions, trigonometric functions, and activation functions. It is found that in a part of the proposed chaotic maps, the local offset boosting of the system variable can be guided by a single parameter. Not only that, the generation of homogeneous multistability can be controlled by the initial conditions of the systems. Moreover, the number of homogeneous attractors produced changes when the system parameters are varied. In addition, the control of chaos can be achieved by adjusting the excitation fRequency of the memristor. The theoretical results and numerical laws presented in this paper are verified by circuit implementation based on the microcontroller unit.
- Publication status:
- Published
- Peer review status:
- Peer reviewed
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- Files:
-
-
(Preview, Accepted manuscript, pdf, 2.3MB, Terms of use)
-
- Publisher copy:
- 10.1088/1402-4896/ad71fe
Authors
+ National Natural Science Foundation of China
More from this funder
- Funder identifier:
- https://ror.org/01h0zpd94
- Publisher:
- IOP Publishing
- Journal:
- Physica Scripta More from this journal
- Volume:
- 99
- Issue:
- 10
- Article number:
- 105227
- Publication date:
- 2024-09-04
- Acceptance date:
- 2024-08-21
- DOI:
- EISSN:
-
1402-4896
- ISSN:
-
0031-8949
- Language:
-
English
- Keywords:
- Pubs id:
-
2030644
- UUID:
-
uuid_6faa2718-d1c9-4fdd-9847-5af64703cbc4
- Local pid:
-
pubs:2030644
- Source identifiers:
-
W4401718062
- Deposit date:
-
2026-01-05
- ARK identifier:
Terms of use
- Copyright holder:
- IOP Publishing Ltd.
- Copyright date:
- 2024
- Rights statement:
- © 2024 IOP Publishing Ltd. All rights, including for text and data mining, AI training, and similar technologies, are reserved.
- Notes:
- This is the accepted manuscript version of the article. The final version is available online from IOP Publishing at https://dx.doi.org/10.1088/1402-4896/ad71fe
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