Synchronization Analysis of Fractional-Order Neural Networks With Adaptive Intermittent-Active Control

This paper concentrates on the study of adaptive control for the synchronization of fractional-order neural networks. Instead of classical adaptive control updating method, an intermittent-active updating strategy is proposed to adaptively tune the control gain in a fractional-order fashion. Moreove...

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Main Authors: Xin Han, Fengna Cheng, Shan Tang, Yuyan Zhang, Yao Fu, Weiguo Cheng, Liang Xu
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/9831443/
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author Xin Han
Fengna Cheng
Shan Tang
Yuyan Zhang
Yao Fu
Weiguo Cheng
Liang Xu
author_facet Xin Han
Fengna Cheng
Shan Tang
Yuyan Zhang
Yao Fu
Weiguo Cheng
Liang Xu
author_sort Xin Han
collection DOAJ
description This paper concentrates on the study of adaptive control for the synchronization of fractional-order neural networks. Instead of classical adaptive control updating method, an intermittent-active updating strategy is proposed to adaptively tune the control gain in a fractional-order fashion. Moreover, quantization is brought into the control design to take into account the restricted bandwidth in signal transmission. Note that the suggested controller is basic yet effective in terms of the fractional-order system. The main theorem is established with the method of reduction to absurdity as well as Lyapunov stability theorem. Finally, simulation calculation is conducted to validate the effectiveness of our proposed method.
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spelling doaj.art-aef0e5e2712f4080a3bcbaa449a33e562022-12-22T02:29:59ZengIEEEIEEE Access2169-35362022-01-0110750977510410.1109/ACCESS.2022.31918019831443Synchronization Analysis of Fractional-Order Neural Networks With Adaptive Intermittent-Active ControlXin Han0Fengna Cheng1https://orcid.org/0000-0002-3129-000XShan Tang2Yuyan Zhang3Yao Fu4Weiguo Cheng5Liang Xu6College of Mechanical and Electronic Engineering, Nanjing Forestry University, Nanjing, ChinaCollege of Mechanical and Electronic Engineering, Nanjing Forestry University, Nanjing, ChinaCollege of Mechanical and Electronic Engineering, Nanjing Forestry University, Nanjing, ChinaCollege of Mechanical and Electronic Engineering, Nanjing Forestry University, Nanjing, ChinaAVIC Jincheng Nanjing Engineering Institute of Aircraft Systems, Nanjing, ChinaAVIC Jincheng Nanjing Engineering Institute of Aircraft Systems, Nanjing, ChinaAVIC Jincheng Nanjing Engineering Institute of Aircraft Systems, Nanjing, ChinaThis paper concentrates on the study of adaptive control for the synchronization of fractional-order neural networks. Instead of classical adaptive control updating method, an intermittent-active updating strategy is proposed to adaptively tune the control gain in a fractional-order fashion. Moreover, quantization is brought into the control design to take into account the restricted bandwidth in signal transmission. Note that the suggested controller is basic yet effective in terms of the fractional-order system. The main theorem is established with the method of reduction to absurdity as well as Lyapunov stability theorem. Finally, simulation calculation is conducted to validate the effectiveness of our proposed method.https://ieeexplore.ieee.org/document/9831443/Fractional-order systemquantized controlintermittent-active controlsynchronization
spellingShingle Xin Han
Fengna Cheng
Shan Tang
Yuyan Zhang
Yao Fu
Weiguo Cheng
Liang Xu
Synchronization Analysis of Fractional-Order Neural Networks With Adaptive Intermittent-Active Control
IEEE Access
Fractional-order system
quantized control
intermittent-active control
synchronization
title Synchronization Analysis of Fractional-Order Neural Networks With Adaptive Intermittent-Active Control
title_full Synchronization Analysis of Fractional-Order Neural Networks With Adaptive Intermittent-Active Control
title_fullStr Synchronization Analysis of Fractional-Order Neural Networks With Adaptive Intermittent-Active Control
title_full_unstemmed Synchronization Analysis of Fractional-Order Neural Networks With Adaptive Intermittent-Active Control
title_short Synchronization Analysis of Fractional-Order Neural Networks With Adaptive Intermittent-Active Control
title_sort synchronization analysis of fractional order neural networks with adaptive intermittent active control
topic Fractional-order system
quantized control
intermittent-active control
synchronization
url https://ieeexplore.ieee.org/document/9831443/
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AT yaofu synchronizationanalysisoffractionalorderneuralnetworkswithadaptiveintermittentactivecontrol
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