| 1 - 11 |
Latent variable iterative learning model predictive control for multivariable control of batch processes
Li XW, Zhao ZG, Liu F |
| 12 - 25 |
Information concentrated variational auto-encoder for quality-related nonlinear process monitoring
Zhu JZ, Shi HB, Song B, Tao Y, Tan S |
| 26 - 35 |
Observer-based tracker design for discrete-time descriptor systems with constrained inputs
Jafari E, Binazadeh T |
| 36 - 45 |
Stoichiometry-driven heuristic feedforward control for oxygen supply in a biological gas desulfurization process
Kiragosyan K, Roman P, Keesman KJ, Janssen AJH, Klok JBM |
| 46 - 57 |
Fault handling in large water networks with online dictionary learning
Irofti P, Stoican F, Puig V |
| 58 - 74 |
An optimal hierarchical control scheme for smart generation units: An application to combined steam and electricity generation
Spinelli S, Farina M, Ballarino A |
| 75 - 96 |
SISO approaches for linear programming based methods for tuning decentralized PID controllers
Euzebio TAM, Yamashita AS, Pinto TVB, Barros PR |
| 97 - 109 |
Robust model predictive control for a nanofluid based solar thermal power plant
Lopez-Bautista AO, Flores-Tlacuahuac A, Gutierrez-Limon MA |
| 110 - 124 |
Robust switched predictive control for multi-phase batch processes with uncertainties and unknown disturbances
Peng B, Shi HY, Su CL, Li P |
| 125 - 143 |
A new approach to spatiotemporal estimation of the river state
Gomolka Z, Krutys P, Twarog B, Zeslawska E |
