1 - 1 |
Editorial 2009 Marquardt W |
2 - 15 |
Control of an industrial copper solvent extraction process Komulainen T, Doyle FJ, Rantala A, Jamsa-Jounela SL |
16 - 24 |
Sensitivity analysis of LP-MPC cascade control systems Nikandrov A, Swartz CLE |
25 - 37 |
Unknown input modeling and robust fault diagnosis using black box observers Manuja S, Narasimhan S, Patwardhan SC |
38 - 47 |
Unified approach for robust dead-time compensator design Normey-Rico JE, Camacho EF |
48 - 57 |
On the use of Poisson wavelet transform for system identification Ramarathnam J, Tangirala AK |
58 - 67 |
System identification using slow and irregular output samples Zhu YC, Telkamp H, Wang JH, Fu QL |
68 - 74 |
Neural network based iterative learning predictive control design for mechatronic systems with isolated nonlinearity Zhang RD, Xue AK, Wang JZ, Wang SQ, Ren ZY |
75 - 84 |
Nonlinear control of high purity distillation column under input saturation and parametric uncertainty Biswas PP, Ray S, Samanta AN |
85 - 99 |
A multi-channel spatio-temporal Hammerstein modeling approach for nonlinear distributed parameter processes Qi CK, Zhang HT, Li HX |
100 - 109 |
Profile control in distributed parameter systems using lexicographic optimization based MPC Padhiyar N, Bhartiya S |
110 - 122 |
A stable MPC with zone control Gonzalez AH, Odloak D |
123 - 137 |
A strategy for predictive control of a mixed continuous batch process de Prada C, Grossmann I, Sarabia D, Cristea S |
138 - 148 |
Optimal measurement combinations as controlled variables Alstad V, Skogestad S, Hori ES |
149 - 162 |
Modelling and robust FDI of steam generator using uncertain bond graph model Djeziri MA, Bouamama BO, Merzouki R |
163 - 177 |
MIMO Smith predictor: Global and structured robust performance analysis Sanchez-Pena RS, Bolea Y, Puig V |