Robust Asymptotical Stability and Stabilization of Fractional-Order Complex-Valued Neural Networks with Delay

The robust asymptotical stability and stabilization for a class of fractional-order complex-valued neural networks (FCNNs) with parametric uncertainties and time delay are considered in this paper. It is worth noting that our system combines complex numbers, uncertain parameters, time delay, and fra...

Full description

Saved in:
Bibliographic Details
Main Authors: Jingjing Zeng, Xujun Yang, Lu Wang, Xiaofeng Chen
Format: Article
Language:English
Published: Wiley 2021-01-01
Series:Discrete Dynamics in Nature and Society
Online Access:http://dx.doi.org/10.1155/2021/5653791
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1832566618350157824
author Jingjing Zeng
Xujun Yang
Lu Wang
Xiaofeng Chen
author_facet Jingjing Zeng
Xujun Yang
Lu Wang
Xiaofeng Chen
author_sort Jingjing Zeng
collection DOAJ
description The robust asymptotical stability and stabilization for a class of fractional-order complex-valued neural networks (FCNNs) with parametric uncertainties and time delay are considered in this paper. It is worth noting that our system combines complex numbers, uncertain parameters, time delay, and fractional orders, which is universal in practical application. Using the theorem of homeomorphism, the sufficient condition of the existence and uniqueness of the equilibrium point for the system is obtained. Then, the sufficient criteria of robust asymptotical stability and stabilization for the addressed models are established, respectively. Finally, we give two numerical examples to verify the feasibility and effectiveness of the theoretical results.
format Article
id doaj-art-6a3c8bef7cbd43b3b8bcf3b3edd581a1
institution Kabale University
issn 1607-887X
language English
publishDate 2021-01-01
publisher Wiley
record_format Article
series Discrete Dynamics in Nature and Society
spelling doaj-art-6a3c8bef7cbd43b3b8bcf3b3edd581a12025-02-03T01:03:40ZengWileyDiscrete Dynamics in Nature and Society1607-887X2021-01-01202110.1155/2021/5653791Robust Asymptotical Stability and Stabilization of Fractional-Order Complex-Valued Neural Networks with DelayJingjing Zeng0Xujun Yang1Lu Wang2Xiaofeng Chen3College of Mathematics and StatisticsCollege of Mathematics and StatisticsCollege of Mathematics and StatisticsCollege of Mathematics and StatisticsThe robust asymptotical stability and stabilization for a class of fractional-order complex-valued neural networks (FCNNs) with parametric uncertainties and time delay are considered in this paper. It is worth noting that our system combines complex numbers, uncertain parameters, time delay, and fractional orders, which is universal in practical application. Using the theorem of homeomorphism, the sufficient condition of the existence and uniqueness of the equilibrium point for the system is obtained. Then, the sufficient criteria of robust asymptotical stability and stabilization for the addressed models are established, respectively. Finally, we give two numerical examples to verify the feasibility and effectiveness of the theoretical results.http://dx.doi.org/10.1155/2021/5653791
spellingShingle Jingjing Zeng
Xujun Yang
Lu Wang
Xiaofeng Chen
Robust Asymptotical Stability and Stabilization of Fractional-Order Complex-Valued Neural Networks with Delay
Discrete Dynamics in Nature and Society
title Robust Asymptotical Stability and Stabilization of Fractional-Order Complex-Valued Neural Networks with Delay
title_full Robust Asymptotical Stability and Stabilization of Fractional-Order Complex-Valued Neural Networks with Delay
title_fullStr Robust Asymptotical Stability and Stabilization of Fractional-Order Complex-Valued Neural Networks with Delay
title_full_unstemmed Robust Asymptotical Stability and Stabilization of Fractional-Order Complex-Valued Neural Networks with Delay
title_short Robust Asymptotical Stability and Stabilization of Fractional-Order Complex-Valued Neural Networks with Delay
title_sort robust asymptotical stability and stabilization of fractional order complex valued neural networks with delay
url http://dx.doi.org/10.1155/2021/5653791
work_keys_str_mv AT jingjingzeng robustasymptoticalstabilityandstabilizationoffractionalordercomplexvaluedneuralnetworkswithdelay
AT xujunyang robustasymptoticalstabilityandstabilizationoffractionalordercomplexvaluedneuralnetworkswithdelay
AT luwang robustasymptoticalstabilityandstabilizationoffractionalordercomplexvaluedneuralnetworkswithdelay
AT xiaofengchen robustasymptoticalstabilityandstabilizationoffractionalordercomplexvaluedneuralnetworkswithdelay