Abstract and Applied Analysis

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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