Indirect Measurement Within Dynamical Context: Probabilistic Approach to Deal With Uncertainty

Abstract : This paper deals with the general question of indirect measurement within dynamical continuous context. The proposed answer is of probabilistic nature in the sense that: the modeling, which is the first element of the answer, consists in transforming the initial model into a stochastic differential equation (SDE) such that, estimating the probability density function (pdf) of its process achieves the measurement, which is indeed the second element of the answer.
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IEEE Transactions on Instrumentation and Measurement, Institute of Electrical and Electronics Engineers, 2004, 53 (6), pp.1449-1454. 〈10.1109/TIM.2004.831138〉
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Soumis le : vendredi 23 janvier 2015 - 09:02:13
Dernière modification le : samedi 24 janvier 2015 - 01:02:55

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Hana Baili, Gilles Fleury. Indirect Measurement Within Dynamical Context: Probabilistic Approach to Deal With Uncertainty. IEEE Transactions on Instrumentation and Measurement, Institute of Electrical and Electronics Engineers, 2004, 53 (6), pp.1449-1454. 〈10.1109/TIM.2004.831138〉. 〈hal-01108561〉

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