TY - JOUR
T1 - Finite-Time Synchronization and H∞Synchronization for Coupled Neural Networks With Multistate or Multiderivative Couplings
AU - Wang, Jin Liang
AU - Wu, Han Yu
AU - Huang, Tingwen
AU - Ren, Shun Yan
N1 - Publisher Copyright:
© 2012 IEEE.
PY - 2024/2/1
Y1 - 2024/2/1
N2 - This article investigates the finite-time synchronization (FTS) and H8 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 H8 synchronization criteria for CNNs with multistate couplings are derived. In addition, we further consider the FTS and finite-time H8 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.
AB - This article investigates the finite-time synchronization (FTS) and H8 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 H8 synchronization criteria for CNNs with multistate couplings are derived. In addition, we further consider the FTS and finite-time H8 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.
KW - Coupled neural networks (CNNs)
KW - finite-time H8 synchronization
KW - finite-time synchronization (FTS)
KW - multiderivative couplings
KW - multistate couplings.
UR - https://www.scopus.com/pages/publications/85184518660
U2 - 10.1109/TNNLS.2022.3184487
DO - 10.1109/TNNLS.2022.3184487
M3 - 文章
C2 - 35776816
AN - SCOPUS:85184518660
SN - 2162-237X
VL - 35
SP - 1628
EP - 1638
JO - IEEE Transactions on Neural Networks and Learning Systems
JF - IEEE Transactions on Neural Networks and Learning Systems
IS - 2
ER -