4.6 Article

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

Journal

IEEE TRANSACTIONS ON CYBERNETICS
Volume 50, Issue 5, Pages 2014-2025

Publisher

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TCYB.2018.2882252

Keywords

Synchronization; Artificial neural networks; Couplings; Network topology; Topology; Adaptation models; Adaptive systems; Adaptive coupling weights; coupled neural networks (CNNs); finite-time passivity (FTP); finite-time synchronization (FTS)

Funding

  1. National Key Research and Development Program of China [2018YFB1003201]
  2. National Natural Science Foundation of China [61773285, 61473011, 61721091]
  3. National Natural Science Foundation for Distinguished Young Scholars of China [61625302]
  4. National Priorities Research Program (NPRP) from the Qatar National Research Fund (a member of Qatar Foundation) [NPRP 9-166-1-031]

Ask authors/readers for more resources

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.

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