1 |
A new structural algorithm for observability classification Ponzoni I, Sanchez MC, Brignole NB Industrial & Engineering Chemistry Research, 38(8), 3027, 1999 |
2 |
The numerical solution of bilinear data reconciliation problems using unconstrained optimization methods Schraa OJ, Crowe CM Computers & Chemical Engineering, 22(9), 1215, 1998 |
3 |
Use of a Novel Autoassociative Neural-Network for Nonlinear Steady-State Data Reconciliation Du YG, Hodouin D, Thibault J AIChE Journal, 43(7), 1785, 1997 |
4 |
Reconciliation of Process Measurements When Data Are Subject to Detection Limits Dovi VG, Reverberi AP, Maga L Chemical Engineering Science, 52(17), 3047, 1997 |
5 |
Robust Data Reconciliation and Gross Error-Detection - The Modified Mimt Using Nlp Kim IW, Kang MS, Park SW, Edgar TF Computers & Chemical Engineering, 21(7), 775, 1997 |
6 |
Procedure for Checking and Fitting Experimental Liquid-Liquid Equilibrium Data Gomis V, Ruiz F, Asensi JC, Saquete MD Fluid Phase Equilibria, 129(1-2), 15, 1997 |
7 |
The Numerical-Solution of Bilinear Data Reconciliation Problems Using Unconstrained Optimization Methods Schraa OJ, Crowe CM Computers & Chemical Engineering, 20(S), 727, 1996 |
8 |
Detecting Persistent Gross Errors by Sequential-Analysis of Principal Components Tong HW, Crowe CM Computers & Chemical Engineering, 20(S), 733, 1996 |
9 |
Use of Orthogonal Transformations in Data Classification-Reconciliation Sanchez M, Romagnoli J Computers & Chemical Engineering, 20(5), 483, 1996 |
10 |
Comparison of Techniques for Data Reconciliation of Multicomponent Processes Rao RR, Narasimhan S Industrial & Engineering Chemistry Research, 35(4), 1362, 1996 |