Passivity for Multiadaptive Coupled Fractional- Order Reaction-Diffusion Neural Networks

  • Jin Liang Wang*
  • , Chen Guang Liu
  • , Xiao Lu Liu
  • , Lina Huang
  • , Tingwen Huang
  • *Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

The passivity and passivity-based synchronization for a type of coupled fractional-order reaction-diffusion neural networks (CFRNNs) with multiadaptive couplings are discussed in this paper. On one hand, by designing suitable integer-order and fractional-order coupling weight updating schemes, several output strict passivity criteria for CFRNNs are developed. On the other hand, the output strict passivity is exploited to tackle the synchronization of CFRNNs, and several sufficient conditions are derived based on the properties of Laplace transform and Mittag-Leffler functions. Finally, the effectiveness of the devised coupling weight updating strategies are substantiated by numerical examples.

Original languageEnglish
Pages (from-to)1350-1361
Number of pages12
JournalIEEE Transactions on Emerging Topics in Computational Intelligence
Volume8
Issue number2
DOIs
StatePublished - 1 Apr 2024
Externally publishedYes

Keywords

  • Coupled fractional-order reaction-diffusion neural networks (CFRNNs)
  • multiadaptive couplings
  • output strict passivity
  • synchronization

Fingerprint

Dive into the research topics of 'Passivity for Multiadaptive Coupled Fractional- Order Reaction-Diffusion Neural Networks'. Together they form a unique fingerprint.

Cite this