Finite-Time Passivity of Adaptive Coupled Neural Networks With Undirected and Directed Topologies. Academic Article

abstract

• In this paper, the finite-time passivity (FTP) problem for two classes of coupled neural networks (CNNs) with adaptive coupling weights is discussed. By selecting appropriate adaptive laws and controllers, several FTP conditions are given for CNNs with undirected and directed topologies. Furthermore, some finite-time synchronization conditions are also established by employing the FTP of the CNNs. At last, two numeral examples are used to check the correctness of the obtained criteria.

authors

• Huang, Tingwen

published proceedings

• IEEE Trans Cybern

author list (cited authors)

• Wang, J., Zhang, X., Wu, H., Huang, T., & Wang, Q.

citation count

• 48

complete list of authors

• Wang, Jin-Liang||Zhang, Xiao-Xiao||Wu, Huai-Ning||Huang, Tingwen||Wang, Qing

publication date

• May 2020

publisher

• Institute of Electrical and Electronics Engineers (IEEE)  Publisher

published in

• IEEE TRANSACTIONS ON CYBERNETICS  Journal

keywords

• Adaptation Models
• Adaptive Coupling Weights
• Adaptive Systems
• Artificial Neural Networks
• Coupled Neural Networks (cnns)
• Couplings
• Finite-time Passivity (ftp)
• Finite-time Synchronization (fts)
• Network Topology
• Synchronization
• Topology

Digital Object Identifier (DOI)

• 10.1109/TCYB.2018.2882252

start page

• 2014

end page

• 2025

volume

• 50

issue

• 5

URL

• http://dx.doi.org/10.1109/tcyb.2018.2882252