Abstract and Applied Analysis
- Abstr. Appl. Anal.
- Volume 2013, Special Issue (2012), Article ID 746241, 12 pages.
Global -Stability Analysis for Impulsive Stochastic Neural Networks with Unbounded Mixed Delays
We investigate the global -stability in the mean square of impulsive stochastic neural networks with unbounded time-varying delays and continuous distributed delays. By choosing an appropriate Lyapunov-Krasovskii functional, a novel robust stability condition, in the form of linear matrix inequalities, is derived. These sufficient conditions can be tested by MATLAB LMI software packages. The results extend and improve the earlier publication. Two numerical examples are provided to illustrate the effectiveness of the obtained theoretical results.
Abstr. Appl. Anal., Volume 2013, Special Issue (2012), Article ID 746241, 12 pages.
First available in Project Euclid: 26 February 2014
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Yin, Lizi; Wang, Xinchun. Global $\mu $ -Stability Analysis for Impulsive Stochastic Neural Networks with Unbounded Mixed Delays. Abstr. Appl. Anal. 2013, Special Issue (2012), Article ID 746241, 12 pages. doi:10.1155/2013/746241. https://projecteuclid.org/euclid.aaa/1393450527