Probabilistic approach for indirect measurement within dynamical uncertain context application from electrical engineering

Conference Record - IEEE Instrumentation and Measurement Technology Conference

Volumn 1, Issue , 2003, Pages 31-35

  Baili, Hana ^a   Fleury, Gilles ^a  

^a SUPELEC   (France)

Author keywords

[No Author keywords available]

Indexed keywords

DIFFERENTIATION (CALCULUS); ELECTRIC IMPEDANCE MEASUREMENT; ELECTRIC LINE SUPPORTS; ELECTRIC NETWORK ANALYSIS; ELECTRICAL ENGINEERING; KNOWLEDGE BASED SYSTEMS; MATHEMATICAL MODELS; ORDINARY DIFFERENTIAL EQUATIONS; PROBABILITY DENSITY FUNCTION; RANDOM PROCESSES; ELECTRIC POTENTIAL; PHYSICS; TIME MEASUREMENT; UNCERTAINTY ANALYSIS;

CANONICAL ANALYSIS;

MEASUREMENT THEORY; ELECTRIC VARIABLES MEASUREMENT;

CONTEXT MODELING; DISTORTION MEASUREMENT; ESTIMATION THEORY; EXTREMITIES; MEASUREMENT UNCERTAINTY;

EID: 0038170084     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (5)

1. H. Baili, "Caractérisation statistique de mesures dynamiques continues à partir d'un modèle de connaissance," Ph.D. dissertation, École Supérieure d'Électricité, France, april 2002. [Online]. Available: http://www.supelec.fr/ecole/mesures/pe/Baili.html
2. J. Mikusiński, Operational Calculus, Oxford: Varsovie & Oxford University Press, 1983.
3. H. Baili and G, Fleury, "Statistical characterization of a measurement, approach using mcmc," IEEE Instrumentation and Measurement Technology Conference, vol. 2, pp. 1373-1376, may 2002.
4. E. McShane, Stochastic Calculus and Stochastic Models. Virginia: Academic Press, 1974.
5. J. L. Gouzé, A. Rapaport, and M. Z. Hadj-Sadok, "Interval observers for uncertain biological systems," submitted for publication.