Stability Analysis of A Class of Takagı-Sugeno Fuzzy Cohen-Grossberg Neural Networks with Time Delays
This paper deals with the problem of the global asymptotic stability of the class of Takagi-Sugeno Fuzzy Cohen-Grossberg neural networks with multiple time delays. By constructing a suitable fuzzy Lyapunov functional, we present a new delay-independent sufficient condition for the global asymptotic...
Main Authors: | Neyir Özcan Semerci̇, Samet Barış |
---|---|
Format: | Article |
Language: | English |
Published: |
Bursa Uludag University
2018-08-01
|
Series: | Uludağ University Journal of The Faculty of Engineering |
Subjects: | |
Online Access: | https://dergipark.org.tr/tr/pub/uumfd/issue/36936/406443 |
Similar Items
-
A NEW CRITERION FOR STABILITY OF NEUTRAL-TYPE HOPFIELD NEURAL NETWORKS WITH CONSTANT DELAYS
by: Özlem Faydasıçok
Published: (2020-08-01) -
Stochastic stability of Cohen-Grossberg neural networks with unbounded distributed delays
by: Ping Chen, et al.
Published: (2010-03-01) -
Stability Analysis of Cohen-Grossberg Neural Networks With Multiple Time-Varying Delays
by: Binbin Gan, et al.
Published: (2022-01-01) -
Exponential Stability of Neutral-Type Cohen-Grossberg Neural Networks With Multiple Time-Varying Delays
by: Li Wan, et al.
Published: (2021-01-01) -
Lyapunov Functions and Stability Properties of Fractional Cohen–Grossberg Neural Networks Models with Delays
by: Ravi P. Agarwal, et al.
Published: (2023-10-01)