Global Dissipativity on Uncertain Discrete-Time Neural Networks with Time-Varying Delays
The problems on global dissipativity and global exponential dissipativity are investigated for uncertain discrete-time neural networks with time-varying delays and general activation functions. By constructing appropriate Lyapunov-Krasovskii functionals and employing linear matrix inequality techniq...
Saved in:
| Main Authors: | Qiankun Song, Jinde Cao |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2010-01-01
|
| Series: | Discrete Dynamics in Nature and Society |
| Online Access: | http://dx.doi.org/10.1155/2010/810408 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Global Synchronization of Complex Networks with Discrete Time Delays on Time Scales
by: Quanxin Cheng, et al.
Published: (2011-01-01) -
Dynamics of Uncertain Discrete-Time Neural Network with Delay and Impulses
by: Xuehui Mei, et al.
Published: (2015-01-01) -
Synchronization of Discrete-Time Stochastic Neural Networks with Random Delay
by: Haibo Bao, et al.
Published: (2011-01-01) -
Delay-Dependent Exponential Stability for Discrete-Time BAM Neural Networks with Time-Varying Delays
by: Yonggang Chen, et al.
Published: (2008-01-01) -
Global exponential synchronization of discrete-time high-order BAM neural networks with multiple time-varying delays
by: Er-yong Cong, et al.
Published: (2024-11-01)