3 - 13 |
Robust PID controller design via LMI approach Ge M, Chiu MS, Wang QG |
15 - 26 |
An integration mechanism for multivariate knowledge-based fault diagnosis Leung D, Romagnoli J |
27 - 38 |
Robust controller design for temperature tracking problems in jacketed batch reactors Sampath V, Palanki S, Cockburn JC, Corriou JP |
39 - 53 |
Application of robust and multimodel control methods to an ill-conditioned distillation column Nystrom RH, Boling JM, Ramstedt JM, Toivonen HT, Haggblom KE |
55 - 67 |
Diagnostic reasoning under conflicting data: the application of the transferable belief model Rakar A, Juricic D |
69 - 83 |
Structure simplification of dynamic process models Leitold A, Hangos KM, Tuza Z |
85 - 99 |
An algorithmic method for the selection of multivariable process control structures Kookos IK, Perkins JD |
101 - 111 |
Application of a neural network to improve an automated thermoplastic tow-placement process Heider D, Piovoso MJ, Gillespie JW |
113 - 121 |
Comparative study of black-box and hybrid estimation methods in fed-batch fermentation James S, Legge R, Budman H |
123 - 129 |
Model predictive control using an extended ARMarkov model Kamrunnahar M, Fisher DG, Huang B |
131 - 141 |
Reduced complexity adaptive nonlinear control of a distributed collector solar field Barao M, Lemos JM, Silva RN |
143 - 162 |
Relay feedback auto-tuning of process controllers - a tutorial review Hang CC, Astrom KJ, Wang QG |
163 - 173 |
Comparison of PI and MPC for control of a gas recovery unit Huang H, Riggs JB |
175 - 192 |
Single and multiple property CD control of sheet forming processes via reduced order infinite horizon MPC algorithm Haznedar B, Arkun Y |
193 - 202 |
Improvements in the predictive capability of neural networks Hoo KA, Sinzinger ED, Piovoso MJ |