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Finite-Time Passivity of Coupled Neural Networks with Multiple Weights

  • Tiangong University
  • Texas A&M University at Qatar

Research output: Contribution to journalArticlepeer-review

Abstract

This paper respectively studies finite-time passivity of multi-weighted coupled neural networks (MWCNNs) with and without coupling delays. First, based on those existing passivity definitions, several new concepts about finite-time passivity are presented. By exploiting these definitions of finite-time passivity and designing appropriate controllers, we investigate the passivity of MWCNNs with and without coupling delays. In addition, some sufficient conditions to guarantee finite-time synchronization of MWCNNs with constant and delayed couplings are obtained under the condition that the MWCNNs is finite-time passive. Finally, two examples are also given to verify the proposed finite-time passivity and synchronization criteria.

Original languageEnglish
Article number8023845
Pages (from-to)184-197
Number of pages14
JournalIEEE Transactions on Network Science and Engineering
Volume5
Issue number3
DOIs
StatePublished - 1 Jul 2018

Keywords

  • Coupled neural networks
  • finite-time passivity
  • finite-time synchronization
  • multiple weights

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