| nr |
titel |
auteur |
tijdschrift |
jaar |
jaarg. |
afl. |
pagina('s) |
type |
| 1 |
Adaptive model predictive control for a dual-hormone artificial pancreas
|
Boiroux, Dimitri
|
|
|
68 |
C |
p. 105-117
|
artikel
|
| 2 |
A data-driven adaptive multivariate steady state detection strategy for the evaporation process of the sodium aluminate solution
|
Xie, Sen
|
|
|
68 |
C |
p. 145-159
|
artikel
|
| 3 |
A data-driven optimal control approach for solution purification process
|
Sun, Bei
|
|
|
68 |
C |
p. 171-185
|
artikel
|
| 4 |
A Finite Horizon Markov Decision Process Based Reinforcement Learning Control of a Rapid Thermal Processing system
|
Pradeep, D. John
|
|
|
68 |
C |
p. 218-225
|
artikel
|
| 5 |
A mechanistic fault detection and isolation approach using Kalman filter to improve the security of cyber physical systems
|
Palleti, Venkata Reddy
|
|
|
68 |
C |
p. 160-170
|
artikel
|
| 6 |
An industrially relevant formulation of a distributed model predictive control algorithm based on minimal process information
|
Maxim, Anca
|
|
|
68 |
C |
p. 240-253
|
artikel
|
| 7 |
An intelligent detection method for bulking sludge of wastewater treatment process
|
Han, Hong-Gui
|
|
|
68 |
C |
p. 118-128
|
artikel
|
| 8 |
An optimised placement of the hard quality sensors for a robust monitoring of the chlorine concentration in drinking water distribution systems
|
Łangowski, Rafał
|
|
|
68 |
C |
p. 52-63
|
artikel
|
| 9 |
A novel hybrid of auto-associative kernel regression and dynamic independent component analysis for fault detection in nonlinear multimode processes
|
Yu, Jungwon
|
|
|
68 |
C |
p. 129-144
|
artikel
|
| 10 |
Big data quality prediction in the process industry: A distributed parallel modeling framework
|
Yao, Le
|
|
|
68 |
C |
p. 1-13
|
artikel
|
| 11 |
Development and pilot-scale validation of a fuzzy-logic control system for optimization of methane production in fixed-bed reactors
|
Robles, A.
|
|
|
68 |
C |
p. 96-104
|
artikel
|
| 12 |
Dynamic modelling of induced draft cooling towers with parallel heat exchangers, pumps and cooling water network
|
Viljoen, J.H.
|
|
|
68 |
C |
p. 34-51
|
artikel
|
| 13 |
Economic model predictive control based on a periodicity constraint
|
Wang, Ye
|
|
|
68 |
C |
p. 226-239
|
artikel
|
| 14 |
Editorial Board
|
|
|
|
68 |
C |
p. ii
|
artikel
|
| 15 |
Effective variable selection and moving window HMM-based approach for iron-making process monitoring
|
Wang, Lin
|
|
|
68 |
C |
p. 86-95
|
artikel
|
| 16 |
Flow and pressure control of underbalanced drilling operations using NMPC
|
Pedersen, Torbjørn
|
|
|
68 |
C |
p. 73-85
|
artikel
|
| 17 |
Growth rate maximization in fed-batch processes using high order sliding controllers and observers based on cell density measurement
|
Jamilis, Martín
|
|
|
68 |
C |
p. 23-33
|
artikel
|
| 18 |
Investigation on the energy conversion and load control of supercritical circulating fluidized bed boiler units
|
Gao, Mingming
|
|
|
68 |
C |
p. 14-22
|
artikel
|
| 19 |
Modelling and predictive control of a recirculating cooling water system for an industrial plant
|
Terzi, E.
|
|
|
68 |
C |
p. 205-217
|
artikel
|
| 20 |
Performance-based data-driven model-free adaptive sliding mode control for a class of discrete-time nonlinear processes
|
Liu, Dong
|
|
|
68 |
C |
p. 186-194
|
artikel
|
| 21 |
Real-time Optimization with persistent parameter adaptation using online parameter estimation
|
Matias, José O.A.
|
|
|
68 |
C |
p. 195-204
|
artikel
|
| 22 |
Regression on dynamic PLS structures for supervised learning of dynamic data
|
Dong, Yining
|
|
|
68 |
C |
p. 64-72
|
artikel
|
| 23 |
Weighted-coupling CSTR modeling and model predictive control with parameter adaptive correction for the goethite process
|
Xie, Shiwen
|
|
|
68 |
C |
p. 254-267
|
artikel
|
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