New sufficient condition of Discrete-time systems of neural networks
Manlika Tanusit1 & Kreangkri Ratchagit1 Show affiliations
- Department of Mathematics and Statistics, Faculty of Science, Maejo University, Chiang Mai 50290, Thailand
American Journal of Applied Sciences, Volume 8, Issue 2, pp. 113–115 · doi.org/10.3844/ajassp.2011.113.115
Abstract
Problem statement: In this study, we derive a new sufficient condition for asymptotic stability of the zero solution of delay-differential system of neural networks in terms of certain matrix inequalities by using a discrete analog of the new Lyapunov second method. Conclusion/Recommendations: The problem is solved by applying a novel Lyapunov functional and an improved delay-dependent stability criterion is obtained in terms of a linear matrix inequality.
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Tanusit, M. & Ratchagit, K. (2011). New sufficient condition of Discrete-time systems of neural networks. American Journal of Applied Sciences, 8(2), 113–115. https://doi.org/10.3844/ajassp.2011.113.115
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