Exponential Stability of Neutral-Type Cohen-Grossberg Neural Networks With Multiple Time-Varying Delays
This paper deals with the problem for exponential stability of a more general class of neutral-type Cohen-Grossberg neural networks. This class of neutral-type Cohen-Grossberg neural networks involves multiple time-varying delays in the states of neurons and multiple time-varying neutral delays in t...
Main Authors: | Li Wan, Qinghua Zhou |
---|---|
Format: | Article |
Language: | English |
Published: |
IEEE
2021-01-01
|
Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/9383293/ |
Similar Items
-
Stability Analysis of Neutral-Type Cohen-Grossberg Neural Networks With Multiple Time-Varying Delays
by: Li Wan, et al.
Published: (2020-01-01) -
Exponential stability analysis for delayed stochastic Cohen-Grossberg neural network
by: Guanjun Wang, et al.
Published: (2010-04-01) -
Stochastic stability of Cohen-Grossberg neural networks with unbounded distributed delays
by: Ping Chen, et al.
Published: (2010-03-01) -
Finite-time stabilization of discontinuous fuzzy inertial Cohen–Grossberg neural networks with mixed time-varying delays
by: Fanchao Kong, et al.
Published: (2021-09-01) -
Convergence of Cohen-Grossberg neural networks with delays and time-varying coefficients
by: Jianying Shao, et al.
Published: (2008-05-01)