New delay-dependent global asymptotic stability condition for Hopfield neural networks with time-varying delays
Author:
Publisher
Springer Science and Business Media LLC
Subject
Applied Mathematics,Computer Science Applications,Modelling and Simulation,Control and Systems Engineering
Link
http://link.springer.com/content/pdf/10.1007/s11633-009-0415-x.pdf
Reference20 articles.
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2. J. A. Farrell, A. N. Michel. A Snthesis Procedure for Hopfield’s Continuous-time Associative Memory. IEEE Transactions on Circuits and Systems, vol. 37, no. 7, pp. 877–884, 1990.
3. J. J. Hopfield. Neurons with Graded Response Have Collective Computational Properties Like Those of Two-state Neurons. In Proceedings of the National Academy of Sciences of the United States of America, USA, vol. 81, no. 10, pp. 3088–3092, 1984.
4. A. Chen, J. Cao, L. Huang. An Estimation of Upperbound of Delays for Global Asymptotic Stability of Delayed Hopfield Neural Networks. IEEE Transactions on Circuits and Systems I: Fundamental Theory and Applications, vol. 49, no. 7, pp. 1028–1032, 2002.
5. C. Li, X. Liao. Global Robust Stability Criteria for Interval Delayed Neural Networks via an LMI Approach. IEEE Transactions on Circuits and Systems II: Express Briefs, vol. 53, no. 9, pp. 901–905, 2006.
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