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Output Synchronization of Coupled Fractional-Order Neural Networks With Multiple Weights

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Abstract

This paper discusses the output synchronization for coupled fractional-order neural networks with multiple weights (CFONNMWs). Firstly, the output synchronization problem for CFONNMWs is analyzed by utilizing the properties of Mittag-Leffler functions and the Laplace transform. Moreover, an output synchronization criterion of CFONNMWs with uncertain parameters is also derived on the basis of the Lyapunov functional method and several inequality techniques. Finally, two examples are provided to verify the effectiveness of the obtained results.

Original languageEnglish
Title of host publicationProceedings of the 41st Chinese Control Conference, CCC 2022
EditorsZhijun Li, Jian Sun
PublisherIEEE Computer Society
Pages953-958
Number of pages6
ISBN (Electronic)9789887581536
DOIs
StatePublished - 2022
Externally publishedYes
Event41st Chinese Control Conference, CCC 2022 - Hefei, China
Duration: 25 Jul 202227 Jul 2022

Publication series

NameChinese Control Conference, CCC
Volume2022-July
ISSN (Print)1934-1768
ISSN (Electronic)2161-2927

Conference

Conference41st Chinese Control Conference, CCC 2022
Country/TerritoryChina
CityHefei
Period25/07/2227/07/22

Keywords

  • Coupled fractional-order neural networks
  • Multiple weights
  • Output synchronization
  • Parameter uncertainties

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