CLC number: O441.1; TN711.3
On-line Access: 2024-08-27
Received: 2023-10-17
Revision Accepted: 2024-05-08
Crosschecked: 2023-02-27
Cited: 0
Clicked: 2054
Citations: Bibtex RefMan EndNote GB/T7714
Xiaoyan LIN, Zhizhong TAN. Unified construction of two n-order circuit networks with diodes[J]. Frontiers of Information Technology & Electronic Engineering, 2023, 24(2): 289-298.
@article{title="Unified construction of two n-order circuit networks with diodes",
author="Xiaoyan LIN, Zhizhong TAN",
journal="Frontiers of Information Technology & Electronic Engineering",
volume="24",
number="2",
pages="289-298",
year="2023",
publisher="Zhejiang University Press & Springer",
doi="10.1631/FITEE.2200360"
}
%0 Journal Article
%T Unified construction of two n-order circuit networks with diodes
%A Xiaoyan LIN
%A Zhizhong TAN
%J Frontiers of Information Technology & Electronic Engineering
%V 24
%N 2
%P 289-298
%@ 2095-9184
%D 2023
%I Zhejiang University Press & Springer
%DOI 10.1631/FITEE.2200360
TY - JOUR
T1 - Unified construction of two n-order circuit networks with diodes
A1 - Xiaoyan LIN
A1 - Zhizhong TAN
J0 - Frontiers of Information Technology & Electronic Engineering
VL - 24
IS - 2
SP - 289
EP - 298
%@ 2095-9184
Y1 - 2023
PB - Zhejiang University Press & Springer
ER -
DOI - 10.1631/FITEE.2200360
Abstract: In this paper, two different n-order topological circuit networks are connected by diodes to establish a unified network model, which is a previously unexplored problem. The network model includes not only five resistive elements but also diode devices, so the network contains many different network types. This problem can be solved through three main steps: First, the network is simplified into two different equivalent circuit models. Second, the nonlinear difference equation model is established by applying Kirchhoff’s law. Finally, the two equations with similar structures are processed uniformly, and the general solutions of the nonlinear difference equations are obtained by using the transformation technique. As an example, several interesting specific results are deduced. Our study on the network model has significant value, as it can be applied to relevant interdisciplinary research.
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