Robust Exponential Stabilization of Stochastic Delay Interval Recurrent Neural Networks with Distributed Parameters and Markovian Jumping by Using Periodically Intermittent Control
We consider a class of stochastic delay recurrent neural networks with distributed parameters and Markovian jumping. It is assumed that the coefficients in these neural networks belong to the interval matrices. Several sufficient conditions ensuring robust exponential stabilization are derived by us...
Saved in:
Main Authors: | Junhao Hu, Yunjian Peng, Yan Li |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2014-01-01
|
Series: | Abstract and Applied Analysis |
Online Access: | http://dx.doi.org/10.1155/2014/842976 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Exponential Stability of Stochastic Delayed Neural Networks with Inverse Hölder Activation Functions and Markovian Jump Parameters
by: Yingwei Li, et al.
Published: (2014-01-01) -
Delay-Dependent Exponential Stability for Uncertain Neutral Stochastic Systems with Mixed Delays and Markovian Jumping Parameters
by: Huabin Chen
Published: (2012-01-01) -
Stochastic Stability of Neural Networks with Both Markovian Jump Parameters and Continuously Distributed Delays
by: Quanxin Zhu, et al.
Published: (2009-01-01) -
Global Robust Exponential Dissipativity for Interval Recurrent Neural Networks with Infinity Distributed Delays
by: Xiaohong Wang, et al.
Published: (2013-01-01) -
Delay-Dependent Robust Exponential Stability and H∞ Analysis for a Class of Uncertain Markovian Jumping System with Multiple Delays
by: Jianwei Xia
Published: (2014-01-01)