Abstract and Applied Analysis
- Abstr. Appl. Anal.
- Volume 2014, Special Issue (2013), Article ID 842976, 15 pages.
Robust Exponential Stabilization of Stochastic Delay Interval Recurrent Neural Networks with Distributed Parameters and Markovian Jumping by Using Periodically Intermittent Control
Junhao Hu, Yunjian Peng, and Yan Li
Full-text: Open access
Abstract
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 using periodically intermittent control and Lyapunov functional. The obtained results are very easy to verify and implement, and improve the existing results. Finally, an example with numerical simulations is given to illustrate the presented criteria.
Article information
Source
Abstr. Appl. Anal., Volume 2014, Special Issue (2013), Article ID 842976, 15 pages.
Dates
First available in Project Euclid: 6 October 2014
Permanent link to this document
https://projecteuclid.org/euclid.aaa/1412605748
Digital Object Identifier
doi:10.1155/2014/842976
Mathematical Reviews number (MathSciNet)
MR3206823
Zentralblatt MATH identifier
07023183
Citation
Hu, Junhao; Peng, Yunjian; Li, Yan. Robust Exponential Stabilization of Stochastic Delay Interval Recurrent Neural Networks with Distributed Parameters and Markovian Jumping by Using Periodically Intermittent Control. Abstr. Appl. Anal. 2014, Special Issue (2013), Article ID 842976, 15 pages. doi:10.1155/2014/842976. https://projecteuclid.org/euclid.aaa/1412605748
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