Adaptive Fuzzy Synchronization of Fractional-Order Chaotic Neural Networks with Backlash-Like Hysteresis

An adaptive fuzzy synchronization controller is designed for a class of fractional-order neural networks (FONNs) subject to backlash-like hysteresis input. Fuzzy logic systems are used to approximate the system uncertainties as well as the unknown terms of the backlash-like hysteresis. An adaptive f...

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Main Authors: Wenqing Fu, Heng Liu
Format: Article
Language:English
Published: Wiley 2018-01-01
Series:Advances in Mathematical Physics
Online Access:http://dx.doi.org/10.1155/2018/7535628
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author Wenqing Fu
Heng Liu
author_facet Wenqing Fu
Heng Liu
author_sort Wenqing Fu
collection DOAJ
description An adaptive fuzzy synchronization controller is designed for a class of fractional-order neural networks (FONNs) subject to backlash-like hysteresis input. Fuzzy logic systems are used to approximate the system uncertainties as well as the unknown terms of the backlash-like hysteresis. An adaptive fuzzy controller, which can guarantee the synchronization errors tend to an arbitrary small region, is given. The stability of the closed-loop system is rigorously analyzed based on fractional Lyapunov stability criterion. Fractional adaptation laws are established to update the fuzzy parameters. Finally, some simulation examples are provided to indicate the effectiveness and the robust of the proposed control method.
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spelling doaj-art-af434ddb3b9f4b05ae314e8d2082b0e02025-02-03T01:26:42ZengWileyAdvances in Mathematical Physics1687-91201687-91392018-01-01201810.1155/2018/75356287535628Adaptive Fuzzy Synchronization of Fractional-Order Chaotic Neural Networks with Backlash-Like HysteresisWenqing Fu0Heng Liu1School of Science, Xi’an Technological University, Xi’an 710021, ChinaDepartment of Applied Mathematics, Huainan Normal University, Huainan 2320389, ChinaAn adaptive fuzzy synchronization controller is designed for a class of fractional-order neural networks (FONNs) subject to backlash-like hysteresis input. Fuzzy logic systems are used to approximate the system uncertainties as well as the unknown terms of the backlash-like hysteresis. An adaptive fuzzy controller, which can guarantee the synchronization errors tend to an arbitrary small region, is given. The stability of the closed-loop system is rigorously analyzed based on fractional Lyapunov stability criterion. Fractional adaptation laws are established to update the fuzzy parameters. Finally, some simulation examples are provided to indicate the effectiveness and the robust of the proposed control method.http://dx.doi.org/10.1155/2018/7535628
spellingShingle Wenqing Fu
Heng Liu
Adaptive Fuzzy Synchronization of Fractional-Order Chaotic Neural Networks with Backlash-Like Hysteresis
Advances in Mathematical Physics
title Adaptive Fuzzy Synchronization of Fractional-Order Chaotic Neural Networks with Backlash-Like Hysteresis
title_full Adaptive Fuzzy Synchronization of Fractional-Order Chaotic Neural Networks with Backlash-Like Hysteresis
title_fullStr Adaptive Fuzzy Synchronization of Fractional-Order Chaotic Neural Networks with Backlash-Like Hysteresis
title_full_unstemmed Adaptive Fuzzy Synchronization of Fractional-Order Chaotic Neural Networks with Backlash-Like Hysteresis
title_short Adaptive Fuzzy Synchronization of Fractional-Order Chaotic Neural Networks with Backlash-Like Hysteresis
title_sort adaptive fuzzy synchronization of fractional order chaotic neural networks with backlash like hysteresis
url http://dx.doi.org/10.1155/2018/7535628
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