doi: 10.4304/jsw.2.1.39-46
A New Formalism for Failure Diagnosis: Ant Colony Decision Petri Nets
Abstract
Failure diagnosis in large and complex systems isa critical task. A discrete event system (DES) approach tothe problem of failure diagnosis is presented in this paper. Aclassic solution to solve DES’s diagnosis is a stochastic Petrinet. The foraging behavior of ant colonies can give rise tothe shortest path, which will reduce the state explosion ofstochastic Petri net. Therefore, a new model of stochasticPetri net, based on foraging behavior of real ant colonies isintroduced in this paper. This model can contribute to thediagnosis, the performance analysis and design ofsupervisory control systems.
Keywords
- Stochastic Petri nets
- discrete-event sy
How to Cite
Calin Ciufudean, Adrian Graur, Constantin Filote, and Cornel Turcu, "A New Formalism for Failure Diagnosis: Ant Colony Decision Petri Nets," Journal of Software, vol. 2, no. 1, pp. 39-46, 2007. https://doi.org/ 10.4304/jsw.2.1.39-46
Copyright & License
Copyright © 2007 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).