Adaptive strategy for achieving fast synchronization between two memristor chaotic circuits without and with noisy perturbation

This paper presents an innovative approach for achieving rapid synchronization between two memristor chaotic circuits (MCCs), both with and without noise perturbations. The proposed adaptive control strategy effectively handles the uncertainty in control gains by adhering to predesigned update law. Additionally, this protocol is non-chattering and differentiable, avoiding the use of conventional discontinuous functions such as signum and absolute value functions. This method successfully mitigates the tremors caused by discontinuous functions. We derive two sufficient criteria using finite-time Lyapunov and stochastic finite-time Lyapunov stability methods. Numerical results validate the theoretical analysis and demonstrate the influence of noise intensity on convergence speed. Furthermore, the results have an application in image encryption transmission.

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Publication Details

Journal
Frontiers in Physics
Published
2024-09-09
DOI
https://doi.org/10.3389/fphy.2024.1445805
Citations
3
Primary Topic
Advanced Memory and Neural Computing
Type
article
Field-Weighted Citation Impact
0.63

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article

Adaptive strategy for achieving fast synchronization between two memristor chaotic circuits without and with noisy perturbation

Binhua Yuan, Jie Wu, Lei Hu, Hui Xu
3 citations
Frontiers in Physics
Advanced Memory and Neural Computing
0.63
article

Adaptive strategy for achieving fast synchronization between two memristor chaotic circuits without and with noisy perturbation

Binhua Yuan, Jie Wu, Lei Hu, Hui Xu
article en
3 citations

Abstract

This paper presents an innovative approach for achieving rapid synchronization between two memristor chaotic circuits (MCCs), both with and without noise perturbations. The proposed adaptive control strategy effectively handles the uncertainty in control gains by adhering to predesigned update law. Additionally, this protocol is non-chattering and differentiable, avoiding the use of conventional discontinuous functions such as signum and absolute value functions. This method successfully mitigates the tremors caused by discontinuous functions. We derive two sufficient criteria using finite-time Lyapunov and stochastic finite-time Lyapunov stability methods. Numerical results validate the theoretical analysis and demonstrate the influence of noise intensity on convergence speed. Furthermore, the results have an application in image encryption transmission.

Frontiers in PhysicsVol. 12
Jiangnan University (CN), China University of Mining and Technology (CN), Longdong University (CN)
National Natural Science Foundation of China, Jiangnan University, China University of Mining and Technology, Longdong University
Openalex Percentile: Top 32%
Advanced Memory and Neural Computing
0.63
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Adaptive strategy for achieving fast synchronization between two memristor chaotic circuits without and with noisy perturbation — Binhua Yuan, Jie Wu, et al. · Frontiers in Physics (2024) | TGRS Research Map | TGRS