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1994

Journal Article

Model reduction for regulatory control: an FCCU case study

Tatrai, F.Z., Lant, P.A., Lee, P.L., Cameron, I.T. and Newell, R.B. (1994). Model reduction for regulatory control: an FCCU case study. Chemical Engineering Research and Design, 72 (A3), 402-407.

Model reduction for regulatory control: an FCCU case study

1993

Journal Article

On the applicability of adaptive bioprocess state estimators

Lant P.A., Tham M.T. and Montague G.A. (1993). On the applicability of adaptive bioprocess state estimators. Biotechnology and Bioengineering, 42 (11), 1311-1321. doi: 10.1002/bit.260421108

On the applicability of adaptive bioprocess state estimators

1992

Journal Article

Bioprocess applications of model‐based estimation techniques

Massimo, Christine Di, Lant, Paul A., Saunders, Aidan, Montague, Gary A., Tham, Ming T. and Morris, A. Julian (1992). Bioprocess applications of model‐based estimation techniques. Journal of Chemical Technology & Biotechnology, 53 (3), 265-277. doi: 10.1002/jctb.280530307

Bioprocess applications of model‐based estimation techniques

1992

Journal Article

BIOPROCESS APPLICATIONS OF MODEL-BASED ESTIMATION TECHNIQUES

DIMASSIMO, C, LANT, PA, SAUNDERS, A, MONTAGUE, GA, THAM, MT and MORRIS, AJ (1992). BIOPROCESS APPLICATIONS OF MODEL-BASED ESTIMATION TECHNIQUES. Journal of Chemical Technology and Biotechnology, 53 (3), 265-277.

BIOPROCESS APPLICATIONS OF MODEL-BASED ESTIMATION TECHNIQUES

1991

Journal Article

Soft-sensors for process estimation and inferential control

Tham, Ming T., Montague, Gary A., Julian Morris, A. and Lant, Paul A. (1991). Soft-sensors for process estimation and inferential control. Journal of Process Control, 1 (1), 3-14. doi: 10.1016/0959-1524(91)87002-F

Soft-sensors for process estimation and inferential control

1990

Journal Article

Estimating the immeasurable without mechanistic models

Montague, Gary, Tham, Ming and Lant, Paul (1990). Estimating the immeasurable without mechanistic models. Trends in Biotechnology, 8 (C), 82-83. doi: 10.1016/0167-7799(90)90141-J

Estimating the immeasurable without mechanistic models