A Novel Robust Neural Network Sliding-Mode Control Method for Synchronizing Fractional Order Chaotic Systems in the Presence of Uncertainty, Disturbance and Time-Varying Delay-Reference-Cited by-同舟云学术

A Novel Robust Neural Network Sliding-Mode Control Method for Synchronizing Fractional Order Chaotic Systems in the Presence of Uncertainty, Disturbance and Time-Varying Delay

Published:2022-08-22 Issue:2 Volume:18 Page:1325-1335
ISSN:1975-0102
Container-title:Journal of Electrical Engineering & Technology
language:en
Short-container-title:J. Electr. Eng. Technol.

Author:

Gu Yan,Sun Jianhua,Fu Xiuwei

Publisher

Springer Science and Business Media LLC

Subject

Electrical and Electronic Engineering

Link

https://link.springer.com/content/pdf/10.1007/s42835-022-01225-w.pdf

Reference30 articles.

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3. Vaseghi B, Mobayen S, Hashemi SS, Fekih A (2021) Fast reaching finite time synchronization approach for chaotic systems with application in medical image encryption. IEEE Access 9:25911–25925

4. Li W, Bai G, Imani Marrani H (2020) A new robust finite-time synchronization and anti-synchronization method for uncertain chaotic systems by using adaptive estimator and terminal sliding mode approaches. J Control, Autom Elect Syst 31(6):1375–1385

5. Zhang J, Sun J, Gu H, Poloei H, Karami A (2021) Control of PMSM chaos using backstepping-based adaptive fuzzy method in the presence of uncertainty and disturbance. Syst Sci Control Eng 9(1):673–688

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1. Synchronization of Fractional-Order Delayed Neural Networks Using Dynamic-Free Adaptive Sliding Mode Control;Fractal and Fractional;2023-09-13

2. Design, analysis, circuit implementation, and synchronization of a new chaotic system with application to information encryption;AIP Advances;2023-07-01