Proceedings of the 2007 International Conference on Intelligent Systems and Knowledge Engineering (ISKE 2007)

Analyzing Brittleness of Complex System Based on the Catastrophe Theory

Authors
Jian Guo1, Xing-lin Chen, Hong-zhang Jin, Dong-jian Wu
1School of Astronautics, Harbin Institute of Technology
Corresponding Author
Jian Guo
Available Online October 2007.
DOI
10.2991/iske.2007.171How to use a DOI?
Keywords
Complex System, Brittleness, Catastrophe Theory, potential function
Abstract

It is hard to set up catastrophe potential function by using conventional methods and choose control variables of catastrophe potential function. So the method of setting up potential function is given to analyze the brittleness of complex system by means of relations among systems. The feasibility of analyzing complex system by using catastrophe theory is also discussed. Based on the data come from authority department, brittleness potential function is set up through the relation among systems. Then the concrete process of derivation and the results of analysis are given. And the conclusions, which are conformed to reality, are got.

Copyright
© 2007, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2007 International Conference on Intelligent Systems and Knowledge Engineering (ISKE 2007)
Series
Advances in Intelligent Systems Research
Publication Date
October 2007
ISBN
978-90-78677-04-8
ISSN
1951-6851
DOI
10.2991/iske.2007.171How to use a DOI?
Copyright
© 2007, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Jian Guo
AU  - Xing-lin Chen
AU  - Hong-zhang Jin
AU  - Dong-jian Wu
PY  - 2007/10
DA  - 2007/10
TI  - Analyzing Brittleness of Complex System Based on the Catastrophe Theory
BT  - Proceedings of the 2007 International Conference on Intelligent Systems and Knowledge Engineering (ISKE 2007)
PB  - Atlantis Press
SP  - 1008
EP  - 1013
SN  - 1951-6851
UR  - https://doi.org/10.2991/iske.2007.171
DO  - 10.2991/iske.2007.171
ID  - Guo2007/10
ER  -