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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vol. 392Adaptive Approach to Make a Delayed Complex...

Adaptive Approach to Make a Delayed Complex Network Attain an Inhomogeneous Equilibrium Point

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Abstract:

The inhomogeneous equilibrium point of a delayed complex network is investigated. In this letter, a novel local adaptive approach is used to make the delayed network achieve an inhomogeneous equilibrium point, where the whole nodes are divided into several groups; the nodes in the same group achieve one equilibrium point. The coupling strength between nodes varies with the information of the related nodes. By constructing a Lyapunov function, a sufficient condition about the stability of the inhomogeneous equilibrium point is obtained. When the isolated node is chaotic Lorenz system, simulations verify the effectiveness of the strategy.

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Mechanical and Electrical Technology V

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Periodical:

Applied Mechanics and Materials (Volume 392)

Pages:

843-846

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.392.843

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Online since:

September 2013

Authors:

Bu Zhi Qin, Xin Biao Lu

Keywords:

Delayed, Equilibrium Point, Inhomogeneous, Local Adaptive Approach

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© 2013 Trans Tech Publications Ltd. All Rights Reserved

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[1] A Arenas, A D Guilera, J Kurths, Y Moreno, C S Zhou, Physics reports, 469 (2008) 93.

[2] X B Lu, B Z Qin, Synchronization in complex networks, Nova Publisher, (2011).

[3] A. Pikovsky, M.R., J. Kurths, Synchronization. Cambridge, UK: Cambridge University Press, (2001).

[4] G. V. Osipov, J. Kurths, C. Zhou, Synchronization in oscillatory networks. 2007, Berlin, Germany: Springer.

[5] J. D. Cao, L. L. Li, Neural Networks, 22 (2009) 335.

[6] J T Ariaratnam, S.H. Strogatz, Physics Review Letter, 86 (2001)4278.

[7] D J Watts, S H Strogatz, Nature, 393 (1998) 440.

[8] A L Barabasi, R Albert, Science, 286 (1999) 509.

[9] S H Strogatz, Nature, 410 (2001)268.

[10] X. F. Wang, G. R. Chen, Physica A, 338 (2004) 367.

[11] X. Li, X. F. Wang, G. R. Chen, IEEE Transactions on Circuits and Systems-I, 51(10) (2004) (2074).

[12] T. P. Chen, X. W. Liu , W. L. Lu, IEEE Transactions on Circuits and Systems-I, 54(6) (2007) 1317.

[13] M. Yoshioka, Phys. Rev. E, 71 (2005) 061914.

[14] P. Holme, M. Huss, H. Jeong，Bioinformatics, 19 (2003) 532.

[15] O. Sporns, D. R. Chialvo, M. Kaiser, C. C. Hilgetag, Trends. Cogn. Sci. 8 (2004) 418.

[16] X. B. Lu, X. F. Wang, J. Q. Fang, Physica D, 239 (2010) 341.

[17] J. Kurths, C S Zhou, Physical Review Letters, 96 (2006) 164102.

[18] T Nishikawa, A E Motter, Physical Review E, 73 (2006) 065106.

[19] P D Lellis, M. D. Bernardo and F. Garofalo, Chaos, 18 (2008) 037110.

[20] X. B. Lu, B. Z. Qin, Physics Letter A, 373 (2009) 3650.