View in EDS

Memristor-regulated multi-scrolls generation method in a cellular neural network.

Saved in:
Bibliographic Details
Title: Memristor-regulated multi-scrolls generation method in a cellular neural network.
Authors: Wu, Huagan1 (AUTHOR), Wang, Wentao1 (AUTHOR), Wang, Ning1 (AUTHOR), Chen, Mo1 (AUTHOR), Xu, Quan1 (AUTHOR) xuquan@cczu.edu.cn
Source: AEU: International Journal of Electronics & Communications. Nov2025, Vol. 201, pN.PAG-N.PAG. 1p.
Subjects: Memristors, Cellular neural networks (Computer science), Electric circuit analysis, Image encryption, Equilibrium, Electromagnetic radiation, Dynamical systems, Stability theory
Abstract: For unique performances, such as large key space and good unpredictability, multi-scroll systems have been widely applied in fields of secure communication and image encryption. In this paper, a cellular neural network under electromagnetic radiation (EMR-CNN) is built and can generate complex multi-scroll dynamics, in which a memristor with an inner piecewise linear function is employed to express the EMR effect. The generation mechanism of multi-scroll attractors is explored via equilibrium and stability analysis. Numerical results show that the number of scrolls is related to the position and number of index-2 equilibrium points. In the proposed EMR-CNN, the index-2 equilibrium points can be regulated by the inner piecewise linear function of the memristor. To demonstrate the regulatory effect, different attractors with odd/even numbers of scrolls are generated in the EMR-CNN. In addition, Multisim-based circuit simulations and FPGA-based circuit experiments are carried out to verify the numerical results. [ABSTRACT FROM AUTHOR]
Copyright of AEU: International Journal of Electronics & Communications is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
Description
Abstract:For unique performances, such as large key space and good unpredictability, multi-scroll systems have been widely applied in fields of secure communication and image encryption. In this paper, a cellular neural network under electromagnetic radiation (EMR-CNN) is built and can generate complex multi-scroll dynamics, in which a memristor with an inner piecewise linear function is employed to express the EMR effect. The generation mechanism of multi-scroll attractors is explored via equilibrium and stability analysis. Numerical results show that the number of scrolls is related to the position and number of index-2 equilibrium points. In the proposed EMR-CNN, the index-2 equilibrium points can be regulated by the inner piecewise linear function of the memristor. To demonstrate the regulatory effect, different attractors with odd/even numbers of scrolls are generated in the EMR-CNN. In addition, Multisim-based circuit simulations and FPGA-based circuit experiments are carried out to verify the numerical results. [ABSTRACT FROM AUTHOR]
ISSN:14348411
DOI:10.1016/j.aeue.2025.156000