Adaptive Neural Network Synchronization Control for Uncertain Fractional-Order Time-Delay Chaotic Systems

We propose an adaptive radial basis (RBF) neural network controller based on Lyapunov stability theory for uncertain fractional-order time-delay chaotic systems (FOTDCSs) with different time delays. The controller does not depend on the system model and can achieve synchronous control under the cond...

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Main Authors: Wenhao Yan, Zijing Jiang, Xin Huang, Qun Ding
Format: Article
Language:English
Published: MDPI AG 2023-03-01
Series:Fractal and Fractional
Subjects:
Online Access:https://www.mdpi.com/2504-3110/7/4/288
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author Wenhao Yan
Zijing Jiang
Xin Huang
Qun Ding
author_facet Wenhao Yan
Zijing Jiang
Xin Huang
Qun Ding
author_sort Wenhao Yan
collection DOAJ
description We propose an adaptive radial basis (RBF) neural network controller based on Lyapunov stability theory for uncertain fractional-order time-delay chaotic systems (FOTDCSs) with different time delays. The controller does not depend on the system model and can achieve synchronous control under the condition that nonlinear uncertainties and external disturbances are completely unknown. Stability analysis showed that the error system asymptotically tended to zero in combination with the relevant lemma. Numerical simulation results show the effectiveness of the controller.
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spelling doaj.art-c0229204471842068c5ae2695e8e001c2023-11-17T19:19:03ZengMDPI AGFractal and Fractional2504-31102023-03-017428810.3390/fractalfract7040288Adaptive Neural Network Synchronization Control for Uncertain Fractional-Order Time-Delay Chaotic SystemsWenhao Yan0Zijing Jiang1Xin Huang2Qun Ding3Electronic Engineering College, Heilongjiang University, Harbin 150080, ChinaElectronic Engineering College, Heilongjiang University, Harbin 150080, ChinaElectronic Engineering College, Heilongjiang University, Harbin 150080, ChinaElectronic Engineering College, Heilongjiang University, Harbin 150080, ChinaWe propose an adaptive radial basis (RBF) neural network controller based on Lyapunov stability theory for uncertain fractional-order time-delay chaotic systems (FOTDCSs) with different time delays. The controller does not depend on the system model and can achieve synchronous control under the condition that nonlinear uncertainties and external disturbances are completely unknown. Stability analysis showed that the error system asymptotically tended to zero in combination with the relevant lemma. Numerical simulation results show the effectiveness of the controller.https://www.mdpi.com/2504-3110/7/4/288radial basis neural networkLyapunov stability theoryfractional-order time-delay chaotic system
spellingShingle Wenhao Yan
Zijing Jiang
Xin Huang
Qun Ding
Adaptive Neural Network Synchronization Control for Uncertain Fractional-Order Time-Delay Chaotic Systems
Fractal and Fractional
radial basis neural network
Lyapunov stability theory
fractional-order time-delay chaotic system
title Adaptive Neural Network Synchronization Control for Uncertain Fractional-Order Time-Delay Chaotic Systems
title_full Adaptive Neural Network Synchronization Control for Uncertain Fractional-Order Time-Delay Chaotic Systems
title_fullStr Adaptive Neural Network Synchronization Control for Uncertain Fractional-Order Time-Delay Chaotic Systems
title_full_unstemmed Adaptive Neural Network Synchronization Control for Uncertain Fractional-Order Time-Delay Chaotic Systems
title_short Adaptive Neural Network Synchronization Control for Uncertain Fractional-Order Time-Delay Chaotic Systems
title_sort adaptive neural network synchronization control for uncertain fractional order time delay chaotic systems
topic radial basis neural network
Lyapunov stability theory
fractional-order time-delay chaotic system
url https://www.mdpi.com/2504-3110/7/4/288
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AT zijingjiang adaptiveneuralnetworksynchronizationcontrolforuncertainfractionalordertimedelaychaoticsystems
AT xinhuang adaptiveneuralnetworksynchronizationcontrolforuncertainfractionalordertimedelaychaoticsystems
AT qunding adaptiveneuralnetworksynchronizationcontrolforuncertainfractionalordertimedelaychaoticsystems