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Maximum Liklihood Deterministic Particle Filter for State Estimation and Fault Detection in Stochastic Hybrid Systems

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3 Author(s)
Kazem, A. ; LAAS/CNRS, Toulouse ; Salut, G. ; Lehmann, F.

In this paper we present a deterministic particle method for estimating the joint continuous/discrete state (x, i), of a class of stochastic hybrid systems, where the discrete state obeys a Markov chain, while noisy measurements of continuous states are taken. We focus on the problem of fault detection. A turbojet engine system example is used to demonstrate this approach, in fault detection and estimation

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Information and Communication Technologies, 2006. ICTTA '06. 2nd  (Volume:1 )

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