Fractional-Order Memristive Chaotic Circuit: Dynamic Characterization and Dual-Platform Co-Simulation

Fractional-order modeling provides a flexible framework for extending memristive circuits with memory-dependent dynamics. This work develops a DC-driven memristive chaotic circuit within a unified fractional-order framework. The memristor is formulated with the Caputo derivative and discretized using Sayed’s scheme; the conventional first-order model is recovered at q=1, whereas 0

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Publication Details

Journal
Fractal and Fractional
Published
2026-09-28
DOI
https://doi.org/10.3390/fractalfract10100680
Primary Topic
Advanced Memory and Neural Computing
Type
article
Field-Weighted Citation Impact
0.00
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Fractional-Order Memristive Chaotic Circuit: Dynamic Characterization and Dual-Platform Co-Simulation

Xinhui Chen, Bin Yan, Peipei Jin, Long Chen
Fractal and Fractional
Advanced Memory and Neural Computing
article

Fractional-Order Memristive Chaotic Circuit: Dynamic Characterization and Dual-Platform Co-Simulation

Xinhui Chen, Bin Yan, Peipei Jin, Long Chen
article en

Abstract

Fractional-order modeling provides a flexible framework for extending memristive circuits with memory-dependent dynamics. This work develops a DC-driven memristive chaotic circuit within a unified fractional-order framework. The memristor is formulated with the Caputo derivative and discretized using Sayed’s scheme; the conventional first-order model is recovered at q=1, whereas 0

Fractal and FractionalVol. 10(10)
Hangzhou Dianzi University (CN)
Openalex Percentile: Top 22%
Advanced Memory and Neural Computing
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