| 3 - 16 |
On the choice of importance distributions for unconstrained and constrained state estimation using particle filter
Prakash J, Patwardhan SC, Shah SL |
| 17 - 27 |
PID controller frequency-domain tuning for stable, integrating and unstable processes, including dead-time
Matausek MR, Sekara TB |
| 28 - 35 |
A G&P EWMA algorithm for high-mix semiconductor manufacturing processes
Chang CC, Pan TH, Wong DSH, Jang SS |
| 36 - 45 |
Improved method for development of parsimonious orthonormal basis filter models
Tufa LD, Ramasamy M, Shuhaimi M |
| 46 - 54 |
Multivariable linearizing control of an industrial sugar crystallization process
Damour C, Benne M, Boillereaux L, Grondin-Perez B, Chabriat JP |
| 55 - 68 |
An extended approach of inverted decoupling
Garrido J, Vazquez F, Morilla F |
| 69 - 81 |
Tuning rules for optimal PID and fractional-order PID controllers
Padula F, Visioli A |
| 82 - 91 |
Using uncertain prior knowledge to improve identified nonlinear dynamic models
Teixeira BOS, Aguirre LA |
| 92 - 102 |
Simple tuning rules for feedforward compensators
Guzman JL, Hagglund T |
| 103 - 110 |
Control design for arbitrary complex nonlinear discrete-time systems based on direct NNMRAC strategy
Li SQ, Li JA, Qiu JH, Ji HL, Zhu KJ |
| 111 - 118 |
Optimal input design for parameter estimation in a single and double tank system through direct control of parametric output sensitivities
Chianeh HA, Stigter JD, Keesman KJ |
| 119 - 129 |
Incorporating delayed and infrequent measurements in Extended Kalman Filter based nonlinear state estimation
Gopalakrishnan A, Kaisare NS, Narasimhan S |
| 130 - 136 |
A systematic way to extend ideal PID tuning rules to the real structure
Leva A, Maggio M |
| 137 - 150 |
Multivariate regression modeling for monitoring quality of injection moulding components using cavity sensor technology: Application to the manufacturing of pharmaceutical device components
Zeaiter M, Knight W, Holland S |
| 151 - 163 |
Dynamic modeling and explicit/multi-parametric MPC control of pressure swing adsorption systems
Khajuria H, Pistikopoulos EN |
| 164 - 172 |
On-line steam production prediction for a municipal solid waste incinerator by fully tuned minimal RBF neural networks
Giantomassi A, Ippoliti G, Longhi S, Bertini I, Pizzuti S |
| 173 - 181 |
Handling communication disruptions in distributed model predictive control
Heidarinejad M, Liu JF, de la Pena DM, Davis JF, Christofides PD |
| 182 - 193 |
Multiple model LPV approach to nonlinear process identification with EM algorithm
Fin X, Huang BA, Shook DS |
| 194 - 204 |
Min-Max MPC based on an upper bound of the worst case cost with guaranteed stability. Application to a pilot plant
Gruber JK, Ramirez DR, Alamo T, Camacho EF |
