| 203 - 219 |
Model-based control of a simulated moving bed chromatographic process for the separation of fructose and glucose
Klatt KU, Hanisch F, Dunnebier G |
| 221 - 232 |
Service process control: conceptualising a service as a feedback control system
Di Mascio R |
| 233 - 242 |
A self-tuning PID control for a class of nonlinear systems based on the Lyapunov approach
Chang WD, Hwang RC, Hsieh JG |
| 243 - 255 |
Restricted second order information for the solution of optimal control problems using control vector parameterization
Canto EB, Banga JR, Alonso AA, Vassiliadis VS |
| 257 - 276 |
Time series methods for dynamic analysis of multiple controlled variables
Seppala CT, Harris TJ, Bacon DW |
| 277 - 289 |
Dynamic process fault monitoring based on neural network and PCA
Chen JH, Liao CM |
| 291 - 302 |
Robust regulation of a class of partially observed nonlinear continuous bioreactors
Rapaport A, Harmand J |
| 303 - 309 |
Modelling a chlorination tower: a multiple model approach
Sbarbaro D, Lazo V, Hernaiz F |
| 311 - 323 |
Stability, dynamics of convergence and tuning of observer-based kinetics estimators
Oliveira R, Ferreira EC, de Azevedo SF |
| 325 - 338 |
Fault detection and isolation of the three-tank system using the modal interval analysis
Sainz MA, Armengol J, Vehi J |
| 339 - 352 |
Use of multiple models and qualitative knowledge for on-line moving horizon disturbance estimation and fault diagnosis
Gatzke EP, Doyle FJ |
