Finite-Time Synchronization and H Synchronization for Coupled Neural Networks With Multistate or Multiderivative Couplings.

abstract

• This article investigates the finite-time synchronization (FTS) and H synchronization for two types of coupled neural networks (CNNs), that is, the cases with multistate couplings and with multiderivative couplings. By designing appropriate state feedback controllers and parameter adjustment strategies, some FTS and finite-time H synchronization criteria for CNNs with multistate couplings are derived. In addition, we further consider the FTS and finite-time H synchronization problems for CNNs with multiderivative couplings by utilizing state feedback control approach and selecting suitable parameter adjustment schemes. Finally, two simulation examples are given to demonstrate the effectiveness of the proposed criteria.

authors

• Huang, Tingwen

published proceedings

• IEEE Trans Neural Netw Learn Syst

altmetric score

• 0.25

author list (cited authors)

• Wang, J., Wu, H., Huang, T., & Ren, S.

citation count

• 2

complete list of authors

• Wang, Jin-Liang||Wu, Han-Yu||Huang, Tingwen||Ren, Shun-Yan

publication date

• July 2022

publisher

• Institute of Electrical and Electronics Engineers (IEEE)  Publisher

published in

• IEEE Transactions on Neural Networks and Learning Systems  Journal

keywords

• Coupled Neural Networks (cnns)
• Finite-time H-infinity Synchronization
• Finite-time Synchronization (fts)
• Multi-derivative Couplings
• Multistate Couplings

PubMed Central ID

• 35776816

Digital Object Identifier (DOI)

• 10.1109/TNNLS.2022.3184487

start page

• 1

end page

• 11

volume

• PP

issue

• 99

URL

• http://dx.doi.org/10.1109/tnnls.2022.3184487