Abstract
In this paper, the global uniform asymptotical stability is studied for delayed neutral-type neural networks by constructing appropriate Lyapunov functional and using the linear matrix inequality (LMI) approach. The main condition given in this paper is dependent on the size of the measure of the space, which is usually less conservative than space-independent ones. Finally, a numerical example is provided to demonstrate the effectiveness and applicability of the proposed criteria.
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References
Cao, J., Zhou, D.: Stability Analysis of Delayed Cellular Neural Networks. Neural Networks 11, 1601–1605 (1998)
Cao, J., Wang, J.: Global Exponential Stability and Periodicity of Recurrent Neural Networks with Time Delays. IEEE Trans. Circuits Syst. I 52(5), 925–931 (2005)
Cao, J., Ho, D.W.C.: A General Framework for Global Asymptotic Stability Analysis of Delayed Neural Networks Based on LMI Approach. Chaos, Solitons and Fractals 24(5), 1317–1329 (2005)
Gu, K.: An Integral Inequality in the Stability Problems of Time-delay Systems. In: Proceedings of 39th IEEE CDC, Sydney, Australia, pp. 2805–2810 (2000)
Liao, X.X., Fu, Y., Gao, J., Zhao, X.: Stability of Hopfield Neural Networks with Reaction-diffusion Terms. Acta Electron. Sinica 28, 78–80 (2002)
Liang, J., Cao, J.: Global Exponential Stability of Reaction-diffusion Recurrent Neural Networks with Time-varying Delays. Phys. Lett. A 314, 434–442 (2003)
Wang, L., Xu, D.: Global Exponential Stability of Reaction-diffusion Hopfield Neural Networks with Time-varying Delays. Science in China E 33, 488–495 (2003)
Xu, S., Lam, J., Ho, D.W.C., Zou, Y.: Delay-dependent Exponential Stability for a Class of Neural Networks with Time Delays. J. Comput. Appl. Math. 183, 16–28 (2005)
Vidyasagar, M.: Nonliear Systems Analysis. Englewood Cliffs, New Jersey (1993)
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© 2006 Springer-Verlag Berlin Heidelberg
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Qiu, J., Cao, J. (2006). Global Asymptotical Stability in Neutral-Type Delayed Neural Networks with Reaction-Diffusion Terms. In: Wang, J., Yi, Z., Zurada, J.M., Lu, BL., Yin, H. (eds) Advances in Neural Networks - ISNN 2006. ISNN 2006. Lecture Notes in Computer Science, vol 3971. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11759966_23
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DOI: https://doi.org/10.1007/11759966_23
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-34439-1
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