Indirect measurement within dynamical context: Probabilistic approach to deal with uncertainty

IEEE Transactions on Instrumentation and Measurement

Volumn 53, Issue 6, 2004, Pages 1449-1454

  Baili, Hana ^a   Fleury, Gilles A ^a  

^a SUPELEC   (France)

Author keywords

Indirect measurement; Knowledge based models; Operational calculus; Probability density function (pdf) estimation; Stochastic differential equations (SDEs)

Indexed keywords

DIFFERENTIAL EQUATIONS; MATHEMATICAL MODELS; MATHEMATICAL TRANSFORMATIONS; PROBABILITY DENSITY FUNCTION; PROBABILITY DISTRIBUTIONS; RANDOM PROCESSES; STATISTICAL METHODS;

INDIRECT MEASUREMENT; KNOWLEDGE BASED MODELS; OPERATIONAL CALCULUS; STOCHASTIC DIFFERENTIAL EQUATIONS;

ESTIMATION;

EID: 10244237709     PISSN: 00189456     EISSN: None     Source Type: Journal    
DOI: 10.1109/TIM.2004.831138     Document Type: Article

References (6)

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2. H. Baili and G. Fleury, "Statistical characterization of a measurement, approach using mcmc," in Proc. IEEE Instrumentation and Measurement Technology Conference, vol. 2, May 2002, pp. 1373-1376.
3. H. Baili, "Caractérization statistique de mesures dynamiques continues à partir d'un modèle de connaissance," Ph.D. dissertation, École Supérieure d'Électricité , France, Apr. 2002.
4. C. McShane, Stochastic Calculus and Stochastic Models. New York: Academic, 1974.
5. J. Mikusiński, Operational Calculus. Oxford, U.K.: Varsovie and Oxford University Press, 1983.
6. H. Baili and G. Fleury, Caractérization statistique d'une mesure issue d'un système dynamique, application à la thermique, in Colloque interdisciplinaire en instrumentation (C2I), vol. 1, pp. 479-486, Jan.-Feb. 2001.