Skip to main content

The Design of the Driving-Coupling Algorithm in Unconventional Incidents Based on the Gerts Network

  • Chapter
  • 1350 Accesses

Part of the book series: Understanding Complex Systems ((UCS))

Abstract

In this chapter, the concept of coupling has been proposed to tackle the issue of disaster derivative coupling in the GERTS network. Then we designed the logical structure of driving-coupling nodes based on GERTS and defined the driving- coupling algorithm as the idea acceleration model in physics, and we then studied the problem of estimating the parameters of the algorithm. The study provided a tool for analyzing the driving-couple of unconventional incidents and also provided new research ideas for the study of the coupling rules of unconventional incidents.

This is a preview of subscription content, log in via an institution.

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   169.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   219.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD   219.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  • Chen, G., Li, X.P., Zhou, L.F.: Ordos basin tectonics relative to the coupling coexistence of multiple energy resources. Earth Science Frontiers 12(4) (2005)

    Google Scholar 

  • Li, Y.Q., Li, C.Y., Huang, R.H.: SVD phase space analysis and its preliminary application to sea-air coupling relationship. Plateau Meteorology (1) (2003)

    Google Scholar 

  • Lin, Y.: Information, prediction and structural whole: an introduction. Kybernetes: The International Journal of Cybernetics, Systems and Management Science 30(4), 350–364 (2001)

    Article  Google Scholar 

  • Lin, Y., OuYang, S.C.: Irregularities and Prediction of Major Disasters. Auerbach Publications, an imprint of Taylor and Francis, New York (2010)

    Book  Google Scholar 

  • Liu, Q.Y., Fan, L.: The leading mode of the tropical ocean-atmosphere coupling. Periodical of Ocean University of China (4) (2008)

    Google Scholar 

  • Lu, W.L., Chen, T.P.: New approach to synchronization analysis of linearly coupled ordinary differential systems. Physica D: Nonlinear Phenomena 213(2), 214–230 (2006)

    Article  MathSciNet  MATH  Google Scholar 

  • Ormberg, H., Larsen, K.: Coupled analysis of floater motion and mooring dynamics for a turret-moored ship. Applied Ocean Research 20(1-2), 55–67 (1998)

    Article  Google Scholar 

  • OuYang, S.C., Lin, Y., Xie, N., Hao, L.P.: Prediction of suddenly appeared disasters and emergency measures. Scientific Inquiry 10(1), 17–24 (2009)

    Google Scholar 

  • Peng, Y.J., Chen, E.Z., Zhang, N.K.: A preliminary study on the ore-forming geologic events. Jilin Geology (3) (2003)

    Google Scholar 

  • Wang, Z.F., Qian, Y.F., Lin, H.J.: Analysis of numerical simulation on extreme precipitation in China using a coupled regional ocean-atmosphere model. Plateau Meteorology (1) (2008)

    Google Scholar 

  • Yue, C.J., Lu, W.S., Li, Q.Q., Liang, X.D., Duan, Y.H.: The advances on the research of Zebiak-Cane ocean-atmosphere coupled model. Journal of Tropical Meteorology (6) (2004)

    Google Scholar 

  • Zhang, X.S.: Coupling FEM and discontinuous BEM for elastostatics and fluid–structure interaction. Engineering Analysis with Boundary Elements 26(8), 719–725 (2002)

    Article  MATH  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2010 Springer-Verlag Berlin Heidelberg

About this chapter

Cite this chapter

Fang, Z., Wei, H., Yang, B., Liu, S., Chen, Y. (2010). The Design of the Driving-Coupling Algorithm in Unconventional Incidents Based on the Gerts Network. In: Liu, S., Forrest, J.YL. (eds) Advances in Grey Systems Research. Understanding Complex Systems. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-13938-3_1

Download citation

Publish with us

Policies and ethics