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2006
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Diagnosis of Complex Systems Using Ant Colony Decision Petri Nets

12 years 2 months ago
Diagnosis of Complex Systems Using Ant Colony Decision Petri Nets
Failure diagnosis in large and complex systems is a critical task. A discrete event system (DES) approach to the problem of failure diagnosis is presented in this paper. A classic solution to solve DES’s diagnosis is a stochastic Petri nets. Unfortunately, the solution of a stochastic Petri net is severely restricted by the size of its underlying Markov chain. On the other hand, it has been shown that foraging behavior of ant colonies can give rise to the shortest path, which will reduce the state explosion of stochastic Petri net. Therefore, a new model of stochastic Petri net, based on foraging behavior of real ant colonies is introduced in this paper. This model can contribute to the diagnosis, the performance analysis and design of supervisory control systems. Key words. Stochastic Petri nets, discrete-event systems, Ant Colony Optimization algorithm.
Calin Ciufudean, Adrian Graur, Constantin Filote,
Added 11 Jun 2010
Updated 11 Jun 2010
Type Conference
Year 2006
Where IEEEARES
Authors Calin Ciufudean, Adrian Graur, Constantin Filote, Cornel Turcu, Valentin Popa
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