| 1 - 10 |
Controllability analysis and optimal control of biomass drying with reduced order models
Berner MO, Scherer V, Monnigmann M |
| 11 - 21 |
Distributed optimization for structured programs and its application to energy management in a building district
Belluschi F, Falsone A, Ioli D, Margellos K, Garatti S, Prandini M |
| 22 - 29 |
Dynamic process monitoring based on a time-serial multi-block modeling approach
Wan XC, Tong CD, Meng SJ, Lan T |
| 30 - 44 |
An active approach to space-reduced NCO tracking and output feedback optimizing control for batch processes with parametric uncertainty
Ye LJ, Shen FF, Ma X, Zhang HW |
| 45 - 57 |
Integrated well pad development scheduling with steam injection control in steam-assisted gravity drainage
Mohankumar Y, Li ZK, Huang B |
| 58 - 73 |
Rebooting data-driven soft-sensors in process industries: A review of kernel methods
Liu YQ, Xie M |
| 74 - 84 |
Process structure-based recurrent neural network modeling for model predictive control of nonlinear processes
Wu Z, Rincon D, Christofides PD |
| 85 - 94 |
Prescribed performance adaptive DSC for a class of time-delayed switched nonlinear systems in nonstrict-feedback form: Application to a two-stage chemical reactor
Tabatabaei SM, Kamali S, Arefi MM, Cao JD |
| 95 - 107 |
Production scheduling in dynamic real-time optimization with closed-loop prediction
Remigio JEJ, Swartz CLE |
| 108 - 118 |
A recursive modified partial least square aided data-driven predictive control with application to continuous stirred tank heater
Gao TY, Luo H, Yin S, Kaynak O |
| 119 - 130 |
An on-line framework for monitoring nonlinear processes with multiple operating modes
Tan RM, Cong T, Ottewill JR, Baranowski J, Thornhill NF |
