Dynamical analysis and robust control of a memristor-based four-dimensional chaotic system: <i>H</i> <sub>∞</sub> control and active–anti-control methods

Abstract This study develops a four-dimensional memristor-based chaotic system and undertakes a comprehensive investigation of its dynamics and robust control. For control, an H ∞ state-feedback scheme is designed and shown to maintain stable system output under external disturbances, offering a new avenue for memristive chaos regulation. To further explore manipulation of chaotic behaviour, two complementary strategies are examined: active control, which suppresses chaos and stabilises the state at an equilibrium point, and anti-control, which dynamically amplifies the nonlinear coupling to intensify chaos. Both approaches are validated through combined circuit and numerical experiments. Classical analytical tools reveal that the system possesses a rich set of nonlinear characteristics. Hardware feasibility is verified via circuit simulation: a detailed Multisim model is built and the resulting attractors are captured on an oscilloscope, closely matching numerical predictions. The proposed system therefore provides a promising platform for secure communication, random-number generation and other nonlinear-dynamics-based technologies, while the dual (suppression/enhancement) control framework supplies fresh theoretical insight and practical guidance for the control and synchronisation of high-dimensional chaotic systems.

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Publication Details

Journal
Physica Scripta
Published
2025-09-01
DOI
https://doi.org/10.1088/1402-4896/ae0212
Primary Topic
Advanced Memory and Neural Computing
Type
article
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article

Dynamical analysis and robust control of a memristor-based four-dimensional chaotic system: H ∞ control and active–anti-control methods

Yulong Bai, Kailing Zhu, Y. Peng
Physica Scripta
Advanced Memory and Neural Computing
article

Dynamical analysis and robust control of a memristor-based four-dimensional chaotic system: H ∞ control and active–anti-control methods

Yulong Bai, Kailing Zhu, Y. Peng
article en

Abstract

Abstract This study develops a four-dimensional memristor-based chaotic system and undertakes a comprehensive investigation of its dynamics and robust control. For control, an H ∞ state-feedback scheme is designed and shown to maintain stable system output under external disturbances, offering a new avenue for memristive chaos regulation. To further explore manipulation of chaotic behaviour, two complementary strategies are examined: active control, which suppresses chaos and stabilises the state at an equilibrium point, and anti-control, which dynamically amplifies the nonlinear coupling to intensify chaos. Both approaches are validated through combined circuit and numerical experiments. Classical analytical tools reveal that the system possesses a rich set of nonlinear characteristics. Hardware feasibility is verified via circuit simulation: a detailed Multisim model is built and the resulting attractors are captured on an oscilloscope, closely matching numerical predictions. The proposed system therefore provides a promising platform for secure communication, random-number generation and other nonlinear-dynamics-based technologies, while the dual (suppression/enhancement) control framework supplies fresh theoretical insight and practical guidance for the control and synchronisation of high-dimensional chaotic systems.

Physica ScriptaVol. 100(9)
Northwest Normal University (CN)
Openalex Percentile: Top 78%
Advanced Memory and Neural Computing
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Dynamical analysis and robust control of a memristor-based four-dimensional chaotic system: <i>H</i> <sub>∞</sub> control and active–anti-control methods — Yulong Bai, Kailing Zhu, et al. · Physica Scripta (2025) | TGRS Research Map | TGRS