9 9 6 ) . I n fl u e n c ed el ap r é cision de l'état d'un système. application au choix de la précision des capteurs, Colloque national, Simulation, Optimisation et Commande en Génie des procédés, SIMO'96 ,
E s t i m a t i o nd ' é t a tg é n é r a l i s és u rh o r i z o ng l i s sant, pp.5-8 ,
Deco m p o sitio nalg o r ith m sf o ro n -lin eestim ation with nonlinear models, Computers and Chemical Engineering, vol.119, issue.10, pp.1031-1039 ,
Deco m p o sitio nalg o r ith m sf o ro n -lin eestim ation with nonlinear models, Computers and Chemical Engineering, vol.121, issue.13, pp.283-299 ,
Data reconciliation : a robust approach using contaminated distribution, Control Engineering Practice, vol.16, issue.2, pp.159-170, 2008. ,
URL : https://hal.archives-ouvertes.fr/hal-00151299
Plant monitoring and fault detection : synergy between data reconciliation and principal component analysis, Computers and Chemical Engineering, vol.25, pp.4-6501, 2001. ,
Integral approach to plant linear dynamic reconciliation, AIChE Journal, vol.43, issue.10, pp.2546-2558, 1997. ,
DOI : 10.1002/aic.690431016
Gross error modelling and detection in plant linear dynamic recoonciliation, Computers and Chemical Engineering, vol.22, issue.12, pp.1789-1809, 1998. ,
Dynamicdatareconciliation:analternativeto Kalman filter, Journal of Process Control, vol.16, pp.485-498, 2006. ,
Development of data reconciliation for dynamic nonlinear system: application the polymerization reactor, Computers & Chemical Engineering, vol.24, issue.2-7, pp.501-506, 2000. ,
DOI : 10.1016/S0098-1354(00)00516-0
Fault detection during process transitions, Chemical Engineering Science, vol.58, issue.2, pp.309-325, 2003. ,
0 0 3 b ) . M u l t i -l i n e a rm o d e l -b a s e d fault detection during process transitions, Chemical Engineering Science, vol.58, issue.29, pp.1649-1670 ,
Adv ancesinsimultaneousstrate gies of dynamic process optimization, Chemical Engineering Science, vol.57, pp.575-593, 2002. ,
Nonlinear model based process control, NATO ASI Series, pp.623-665 ,
D é t e c t i o ne t diagnostic de pannes -approche par modélisation ,
Areducespaceinterior point strategy for optimization of differential algebraic systems, Computers and Chemical Engineering, vol.24, pp.39-51, 2000. ,
Reconciliation of process flow rates by matrix projection (i) : linear case, AIChE Journal, vol.29, pp.881-888, 1983. ,
Data reconciliation in generalized linear dynamic systems, AIChE Journal, vol.37, issue.2, pp.193-201, 1991. ,
DOI : 10.1002/aic.690370205
An optimization framework for parameter estimation of large-scale systems, Chemical Engineering and Processing, vol.46, pp.1085-1095, 2007. ,
Réconciliation de données et estimation paramétrique simultanées. application au convertisseur à oxygène, 2nd Workshop Surveillance, Sûreté et Sécurité des Grands Systèmes, 3SGS'09, 2009. ,
Réconciliation de données robuste et surveillance d'un convertisseur à oxygène, 4ème Congrès Performances et Nouvelles Technologies en Maintenance, PENTOM'09, 2009. ,
Robust data reconciliation for the determination of the control set-points of a basic oxygen furnace, Workshop on Automation in Mining, Mineral and Metal Industry, 2009. ,
URL : https://hal.archives-ouvertes.fr/hal-00395346
Simultaneous data reconciliation and parameter estimation. application to a basic oxygen furnace, 2nd IFAC International Conference on Intelligent Control Systems and Signal Processing, 2009. ,
URL : https://hal.archives-ouvertes.fr/hal-00395590
O u t l i e rd e t e c t i o na n de d i t i n gp r o c e d u r e sf o r continuous multivariate data, pp.2003-2010 ,
O p e r a t i o nd a t ar e c o n c i l i a t i o n:a na i dt o improved plant performance, 10th Word Petroleum Congress, p.281, 1979. ,
Critical evaluation of extended Kalman filtering and moving-horizon estimation, Industry and Engineering Chemical Research, vol.44, issue.8, pp.2451-2460, 2005. ,
On lin em o n ito r in gan do p tim isatio n of a ketene manufacturing plant, The Sixth Italian Conference on Chemical and Process Engineering ,
Sensitivity calculations and variance analysis in process plant measurement reconciliation, Computers and Chemical Engineering, vol.20, pp.530-544, 1996. ,
A hierarchical procedure for adjustment and material balancing of mineral processes data, International Journal of Mineral Processing, vol.7, issue.2, pp.91-116, 1980. ,
DOI : 10.1016/0301-7516(80)90002-2
Comparison of two approaches to on-line parameter and state estimation of nonlinear systems, Ind. Eng. Chem. Process Des. Dev, vol.25, pp.809-814, 1986. ,
Ar o b u s ts t r a t e g yf o rj o i n td a t ar e c o n c i l i a t i o n and parameter estimation, European Symposium on Computer Aided Process Engineering, p.14 ,
Process measurements analysis and validation. Chemical Engineering Conference : use of computers in chemical engineering, 1987. ,
P arameterandstateestimationoftheacti v ated sludge process : on-line algorithm, Water Research, vol.30, issue.12, pp.3115-3129, 1996. ,
Dynamic rectification of data via recurrent neural nets and the extended Kalman filter, AIChE Journal, vol.42, issue.8, pp.2225-2239, 1996. ,
DOI : 10.1002/aic.690420812
9 1 ) As e q u e n t i a le r r o r -i n -v a r i a b l e sm e t h o df o r nonlinear dynamic systems, Computers and Chemical Engineering, vol.115, issue.99, pp.663-670 ,
Statistical analysis of constrained data sets, AIChE Journal, vol.26, issue.2, pp.260-264, 1980. ,
DOI : 10.1002/aic.690260208
An integral approach to dynamic data rectification, Computers and Chemical Engineering, vol.24, pp.749-753, 2000. ,
Computer control. (ii) mathematics of control, Chemical Engineering Progress, vol.57, pp.44-47, 1961. ,
Asoftwareen vironmentforsimultaneousdynamicoptimization, Computers and Chemical Engineering, vol.31, pp.931-942, 2007. ,
Efficient data reconciliation and estimation for dynamic process using programming techniques, Computers and Chemical Engineering, vol.16, pp.963-986, 1992. ,
Optimalselectionofmeasuringpointsincomplexplants by linear models, AIChE, vol.38, issue.2, pp.227-236, 1992. ,
Reconciliation and rectification of process flow and inventory data, Process Design and Development, pp.175-183, 1976. ,
Detectionofgrosserrorinprocessdata, AICHE Journal, vol.28, issue.5, pp.828-830, 1982. ,
D a t ar e c o n c i l i a tion by inequality balance equilibration, a LMI approach, International Journal of Mineral Processing, vol.153, pp.157-169 ,
Data reconciliation with uncertain models, ISA Transactions, vol.39, issue.1, pp.35-45, 2000. ,
DOI : 10.1016/S0019-0578(99)00045-2
URL : https://hal.archives-ouvertes.fr/hal-00143980
Data reconciliation for measurement, European Journal of Diagnosis and Safety in Automation, vol.1, pp.145-181, 1991. ,
Comparison of gross error detection methods in process data, 30th IEEE Conference on Decision and Control, pp.2254-2261, 1991. ,
Bias detection and estimation in dynamic data reconciliation, Journal of Process Control, vol.5, issue.4, pp.285-289, 1995. ,
The application of non linear dynamic data reconciliation to plant data, Computers and Chemical Engineering, issue.12, pp.221907-1911, 1998. ,
Methodsand applications of interval analysis, 1979. ,
Observerdesignfornonlinearsystemswithdiscrete-time measurements, IEEE Transaction on Automatic Control, vol.40, issue.3, pp.395-404, 1995. ,
Amethodtoincorporateboundsindatareconci- liation and gross error detection, Computers and Chemical Engineering, vol.17, issue.11, pp.1115-1120, 1993. ,
Data reconciliation and gross error detection : an intelligent use of process data, 2000. ,
Generalized likelihood ratio method for gross errors identification, AICHE Journal, vol.33, issue.9, pp.1514-1521, 1987. ,
Generalized likelihood ratios for gross errors identification in dynamic processes, AICHE Journal, vol.34, issue.8, pp.1321-1331, 1988. ,
Numerical optimization.S p r i n g e rs e r i e si no p e r a t i o n s research, 1999. ,
Application of Broyden's method to reconciliation of nonlinearity constrained data, AIChE Journal, vol.34, pp.873-876, 1988. ,
Control and observer design for nonlinear finite and infinite dimensional systems,c h a p i t r e:r e m a r k so nm o v i n g horizon state estimation with guaranteed convergence, pp.67-80 ,
Va l i d a t i o n d e d o n n é e s e t diagnostic ,
F a u l tm e a s u r e m e n td e t e c t i o ni na nu r b a nw a t e rs u pply network, Journal of Process Control, vol.16, issue.69, pp.887-902 ,
Sensorf aultdetectionandisolation.A blind approach, 5th international symposium on intelligent components and instruments for control applications, 2003. ,
0 0 5 ) . L i n e a rm a s sb a l a n c ee q u i l i b r a t i o n:A new approach for an old problem, ISA Transactions, vol.44, issue.2, pp.23-34 ,
Application of statistical theory of adjustment of material balances, 13th Canadian Chemical Engineering Congress, 1963. ,
Iterati v eestimationofmodelparameterswhenmeasurements of all variables are subject to error, Computers and Chemical Engineering, vol.4, issue.2, pp.33-38, 1980. ,
S i m u l t a n e o u sd y n a m i cv a l i d a t i o n / i d e n t i fi c a t i on of mechanistic process models and reconciliation of industrial process data, Computer Aided Chemical Engineering, vol.21, issue.6A, pp.267-272 ,
Rectification of process measurement data in the presence of gross error, Chemical Engineering Science, vol.16, issue.11, pp.1849-1863, 1981. ,
Rectification of process measurement data in the presence of gross errors, Chemical Engineering Science, vol.36, issue.11, pp.1849-1863, 1981. ,
An efficient algorithm for mineral processing data adjustment, International Journal of Mineral Processing, vol.31, issue.1-2, pp.73-96, 1991. ,
DOI : 10.1016/0301-7516(91)90006-5
9 6 ) U s eo fo r t h o g o n a lt r a n s f o r m a t i o ni nd a t a classification-reconciliation, pp.483-493 ,
Simultaneousstrategiesfordatareconciliation and gross error detection of nonlinear systems, Computers and chemical engineering, vol.15, issue.10, pp.679-690, 1991. ,
Robust and reliable estimation via unscented recursive nonlinear dynamic data reconciliation, Journal of Process Control, vol.16, issue.10, pp.1075-1086, 2006. ,
A framework for integrating diagnostic knowledge with non linear optimisation for data reconciliation and parameter estimation in dynamic systems, Chemical Engineering Science, vol.56, pp.2133-2148, 2001. ,
Robust data reconciliation based on generalized objective function, 15th IFAC World congress on automatic control, 2002. ,
Statistical process monitoring using improved PCA with optimized sensor locations, Journal of Process Control, vol.12, issue.6, pp.735-744, 2002. ,
DOI : 10.1016/S0959-1524(01)00048-8
Annual conference on computer graphics and interactive techniques, chapitre An introduction to Kalman Filter ,
Combined bias and outlier identification in dynamic data reconciliation, Computers and Chemical Engineering, vol.26, pp.921-935, 2002. ,