| 813 - 814 |
Preamble for special issue honouring John F. Macgregor
Harris TJ |
| 815 - 827 |
Extremum-seeking control of retention for a micro particulate system
Favache A, Dochain D, Perrier M, Guay M |
| 828 - 837 |
Parameter and state estimation in nonlinear stochastic continuous-time dynamic models with unknown disturbance intensity
Varziri MS, McAuley KB, McLellan PJ |
| 838 - 858 |
Treatment of missing values in process data analysis
Imtiaz SA, Shah SL |
| 859 - 868 |
A generalized approach to demand buffering and production levelling for JIT make-to-stock applications
Swanson RE |
| 869 - 878 |
On-line prediction of crystallinity spatial distribution across polymer films using NIR spectral imaging and chemometrics methods
Gosselin R, Rodrigue D, Duchesne C |
| 879 - 892 |
A replicated investigation of nitroxide-mediated radical polymerization of styrene over a range of reaction conditions
Nabifar A, McManus NT, Vivaldo-Lima E, Lona LMF, Penlidis A |
| 893 - 904 |
Control relevant on-line model validation criterion based on robust stability conditions
Jiang HL, Shah SL, Huang BA |
| 905 - 923 |
The integration of spectroscopic and process data for enhanced process performance monitoring
Wong CWL, Escott R, Martin E, Morris J |
| 924 - 936 |
Dynamic evolution of the particle size distribution in suspension polymerization reactors: A comparative study on Monte Carlo and sectional grid methods
Saliakas V, Kotoulas C, Meimaroglou D, Kiparissides C |
| 937 - 946 |
Experiences in applying data-driven modelling technology to steelmaking processes
Miletic I, Boudreau F, Dudzic M, Kotuza G, Ronholm L, Vaculik V, Zhang Y |
| 947 - 959 |
A new method for the detection of microorganisms in blood cultures: Part I. Theoretical analysis and simulation of blood culture processes
Smith JM, Serebrennikova YM, Huffman DE, Leparc GF, Garcia-Rubio LH |
| 960 - 970 |
Local dynamic partial least squares approaches for the modelling of batch processes
Fletcher NM, Morris AJ, Montague G, Martin EB |
