Finite-time topological identification of complex network with time delay and stochastic disturbance

Yufeng Qian

Kybernetika (2021)

  • Volume: 57, Issue: 3, page 534-545
  • ISSN: 0023-5954

Abstract

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The topology identification issue of complex stochastic network with delay and stochastic disturbance is mainly introduced in this paper. It is known the time delay and stochastic disturbance are ubiquitous in real network, and they will impair the identification of network topology, and the topology capable of identifying the network within specific time is desired on the other hand. Based on these discussions, the finite-time identification method is proposed to solve similar issues problems. The validity of theoretical results is proved with the stochastic dynamical system stability theory and finite-time stability theory. Finally, a simple numerical simulation is proposed to verify the feasibility of the method.

How to cite

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Qian, Yufeng. "Finite-time topological identification of complex network with time delay and stochastic disturbance." Kybernetika 57.3 (2021): 534-545. <http://eudml.org/doc/297932>.

@article{Qian2021,
abstract = {The topology identification issue of complex stochastic network with delay and stochastic disturbance is mainly introduced in this paper. It is known the time delay and stochastic disturbance are ubiquitous in real network, and they will impair the identification of network topology, and the topology capable of identifying the network within specific time is desired on the other hand. Based on these discussions, the finite-time identification method is proposed to solve similar issues problems. The validity of theoretical results is proved with the stochastic dynamical system stability theory and finite-time stability theory. Finally, a simple numerical simulation is proposed to verify the feasibility of the method.},
author = {Qian, Yufeng},
journal = {Kybernetika},
keywords = {topology identification; finite-time; time delay; stochastic perturbations},
language = {eng},
number = {3},
pages = {534-545},
publisher = {Institute of Information Theory and Automation AS CR},
title = {Finite-time topological identification of complex network with time delay and stochastic disturbance},
url = {http://eudml.org/doc/297932},
volume = {57},
year = {2021},
}

TY - JOUR
AU - Qian, Yufeng
TI - Finite-time topological identification of complex network with time delay and stochastic disturbance
JO - Kybernetika
PY - 2021
PB - Institute of Information Theory and Automation AS CR
VL - 57
IS - 3
SP - 534
EP - 545
AB - The topology identification issue of complex stochastic network with delay and stochastic disturbance is mainly introduced in this paper. It is known the time delay and stochastic disturbance are ubiquitous in real network, and they will impair the identification of network topology, and the topology capable of identifying the network within specific time is desired on the other hand. Based on these discussions, the finite-time identification method is proposed to solve similar issues problems. The validity of theoretical results is proved with the stochastic dynamical system stability theory and finite-time stability theory. Finally, a simple numerical simulation is proposed to verify the feasibility of the method.
LA - eng
KW - topology identification; finite-time; time delay; stochastic perturbations
UR - http://eudml.org/doc/297932
ER -

References

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  1. Al-Mahbashi, G., Noorani, M., , IEEE Access 7 (2019), 7082-7092. DOI
  2. Chen, W. S., Jiao, L. C., , Automatica 46 (2010), 12, 2105-2108. DOI
  3. Chen, L., Lu, J. A., Chi, K. T., , IEEE Trans. Circuits Syst. II 56 (2009), 4, 310-314. DOI
  4. Guan, Z. H., Sun, F. L., Wang, Y. W., Li, T., , IEEE Trans. Circuits Syst. I 59 (2012), 11, 2646-2654. DOI
  5. Guo, S. J., Fu, X. C., , J. Phys. A: Math. Theor. 43 (2010), 29, 295101. DOI
  6. Hardy, G., Littlewood, J., Polya, G., Inequalities., Cambridge 1952. Zbl0634.26008
  7. Lin, W., Ma, H. F., , Phys. Rev. E 75 (2007), 6, 066212. DOI
  8. Liu, H., Lu, J. A., Lü, J. H., Hill, D. ., , Automatica 45 (2009), 8, 1799-1807. DOI
  9. Lorenz, E. N., , J. Atmos. Sci. 20 (1963), 1, 130-141. DOI
  10. Mao, X. R., , J. Diff. Equat. 153 (1999), 1, 175-195. DOI
  11. Mei, J., Jiang, M. H., Wang, J., , Commun. Nonlinear Sci. Numer. Simul. 18 (2013), 4, 999-1015. DOI
  12. Selvaraj, P., Kwon, O., Sakthivel, R., , Neural Networks 112 (2019), 73-84. DOI
  13. Sun, Y. Z., Li, W., Zhao, D. H., , Chaos 22 (2012), 2, 023152. DOI
  14. Wu, X. Q., , Physica A 387 (2008), 4, 997-1008. DOI
  15. Wu, X. Q., Wang, W. H., Zheng, W. X., , Phys. Rev. E 86 (2012), 4, 046106. DOI
  16. Wu, X. Q., Zhao, X. Y., Lü, J. H., Tang, L. K., Lu, J. A., , IEEE Trans. Contr. Net. Syst. 3 (2016), 4, 379-389. DOI
  17. Wu, X. Q., Zhou, C. S., Chen, G. R., Lu, J. A., , Chaos 21 (2011), 4, 043129. DOI
  18. Xiao, F., Wang, L., Chen, J., Gao, Y. P., , Automatica 45 (2009), 11, 2605-2611. Zbl1180.93006DOI
  19. Yu, W. W., Chen, G. R., Cao, J. D., Lü, J. H., Parlitz, U., , Phys. Rev. E 75 (2007), 6, 067201. DOI
  20. Yu, D. C., Righero, M., Kocarev, L., , Phys. Rev. Lett. 97 (2006), 18, 188701. DOI
  21. Zhao, J. C., Li, Q., Lu, J. A., Jiang, Z. P., , Chaos 20 (2010), 2, 023119. DOI
  22. Zhao, H., Li, L. X., Peng, H. P., Xiao, J. H., Yang, Y. X., Zheng, M. W., , Neurocomputing 219 (2017), 39-49. DOI
  23. Zhao, H., Zheng, M. W., , IEEE Access 7 (2019), 31820-31831. DOI
  24. Zhou, J., Lu, J. A., , Physica A 386 (2007), 1, 481-491. DOI

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