
Fuqiang WU1,2, Ying XU3, Huimin QI1, Jun MA4. Dynamics of a two-disk dynamo loaded with a dual neuron circuit and its application[J]. Journal of Zhejiang University Science A, 1998, -1(-1): .
@article{title="Dynamics of a two-disk dynamo loaded with a dual neuron circuit and its application",
author="Fuqiang WU1,2, Ying XU3, Huimin QI1, Jun MA4",
journal="Journal of Zhejiang University Science A",
volume="-1",
number="-1",
pages="",
year="1998",
publisher="Zhejiang University Press & Springer",
doi="10.1631/jzus.A2600099"
}
%0 Journal Article
%T Dynamics of a two-disk dynamo loaded with a dual neuron circuit and its application
%A Fuqiang WU1
%A 2
%A Ying XU3
%A Huimin QI1
%A Jun MA4
%J Journal of Zhejiang University SCIENCE A
%V -1
%N -1
%P
%@ 1673-565X
%D 1998
%I Zhejiang University Press & Springer
%DOI 10.1631/jzus.A2600099
TY - JOUR
T1 - Dynamics of a two-disk dynamo loaded with a dual neuron circuit and its application
A1 - Fuqiang WU1
A1 - 2
A1 - Ying XU3
A1 - Huimin QI1
A1 - Jun MA4
J0 - Journal of Zhejiang University Science A
VL - -1
IS - -1
SP -
EP - 0
%@ 1673-565X
Y1 - 1998
PB - Zhejiang University Press & Springer
ER -
DOI - 10.1631/jzus.A2600099
Abstract: Constructing a neuromorphic electromechanical system based on a flexible memristor is of great significance for the development of biomimetic electrical-mechanical transverters. A bioinspired electromechanical system can perform real-time energy-efficient processing of multimodal signals, including electrical activities and mechanical motions. Here, we propose a bioinspired electromechanical system composed of a two-disc dynamo driven by a dual integrate-and-fire neuron. A memristive system exists in the bioinspired electromechanical system, as observed in the current-voltage relationship. The neuromorphic electromechanical model can exhibit a multiscroll hidden attractor by adjusting a controllable parameter. Complex chaotic behaviors have been demonstrated by numerical simulations, including two-parameter bifurcation, Lyapunov exponents, and phase diagrams. Finally, the applicability of a chaotic encryption scheme is successfully implemented on a neuromorphic electromechanical system.
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On-line Access: 2026-05-07
Received: 2026-03-01
Revision Accepted: 2026-04-22
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