nr |
titel |
auteur |
tijdschrift |
jaar |
jaarg. |
afl. |
pagina('s) |
type |
1 |
A general-purpose method for Pareto optimal placement of flow rate and concentration sensors in networked systems – With application to wastewater treatment plants
|
Villez, Kris |
|
|
139 |
C |
p. |
artikel |
2 |
An indirect approach for singular optimal control problems
|
Andrés-Martínez, Oswaldo |
|
|
139 |
C |
p. |
artikel |
3 |
A review On reinforcement learning: Introduction and applications in industrial process control
|
Nian, Rui |
|
|
139 |
C |
p. |
artikel |
4 |
A Smart Contract-based agent marketplace for the J-Park Simulator - a knowledge graph for the process industry
|
Zhou, Xiaochi |
|
|
139 |
C |
p. |
artikel |
5 |
Assigning and sequencing batches and blends of oil derivatives in a mesh-like pipeline network
|
Bueno, L. |
|
|
139 |
C |
p. |
artikel |
6 |
Combining the advantages of discrete- and continuous-time scheduling models: Part 3. General algorithm
|
Lee, Hojae |
|
|
139 |
C |
p. |
artikel |
7 |
Distributed output feedback control for multi-unit system with delayed multirate measurements
|
Ravi, Arvind |
|
|
139 |
C |
p. |
artikel |
8 |
Dynamic optimization with complementarity constraints: Smoothing for direct shooting
|
Caspari, Adrian |
|
|
139 |
C |
p. |
artikel |
9 |
Editorial Board
|
|
|
|
139 |
C |
p. |
artikel |
10 |
Ensemble learning based latent variable model predictive control for batch trajectory tracking under concept drift
|
Jeong, Dong Hwi |
|
|
139 |
C |
p. |
artikel |
11 |
Hidden representations in deep neural networks: Part 2. Regression problems
|
Das, Laya |
|
|
139 |
C |
p. |
artikel |
12 |
HY-POP: Hyperparameter optimization of machine learning models through parametric programming
|
Tso, William W. |
|
|
139 |
C |
p. |
artikel |
13 |
Industrial process time-series modeling based on adapted receptive field temporal convolution networks concerning multi-region operations
|
Wang, Yongjian |
|
|
139 |
C |
p. |
artikel |
14 |
Integrating dynamic slow feature analysis with neural networks for enhancing soft sensor performance
|
Corrigan, Jeremiah |
|
|
139 |
C |
p. |
artikel |
15 |
Kinetic Monte Carlo modeling of the equilibrium-based size control of CsPbBr3 perovskite quantum dots in strongly confined regime
|
Sitapure, Niranjan |
|
|
139 |
C |
p. |
artikel |
16 |
Large-scale selective maintenance optimization using bathtub-shaped failure rates
|
Ikonen, Teemu J. |
|
|
139 |
C |
p. |
artikel |
17 |
Modular modeling of electrochemical reactors: Comparison of CO2-electolyzers
|
Brée, Luisa C. |
|
|
139 |
C |
p. |
artikel |
18 |
Non-convex chance-constrained optimization for blending recipe design under uncertainties
|
Yang, Yu |
|
|
139 |
C |
p. |
artikel |
19 |
Open-loop control of directed self-assembly of colloidal particles in a microfluidic device
|
Gao, Yu |
|
|
139 |
C |
p. |
artikel |
20 |
Optimal constraint-based regularization for parameter estimation problems
|
Nakama, Caroline S.M. |
|
|
139 |
C |
p. |
artikel |
21 |
Optimal design of superstructures for placing units and streams with multiple and ordered available locations. Part II: Rigorous design of catalytic distillation columns
|
Liñán, David A. |
|
|
139 |
C |
p. |
artikel |
22 |
Optimal utilization of natural gas pipeline storage capacity under future supply uncertainty
|
Kazda, Kody |
|
|
139 |
C |
p. |
artikel |
23 |
Optimization-based approach for CO2 utilization in carbon capture, utilization and storage supply chain
|
Zhang, Shuai |
|
|
139 |
C |
p. |
artikel |
24 |
Optimization of CAR T-cell therapies supply chains
|
Karakostas, Panagiotis |
|
|
139 |
C |
p. |
artikel |
25 |
Optimization with uncertainty – A case study for controller recalibration
|
Mayo, Stephen M. |
|
|
139 |
C |
p. |
artikel |
26 |
Predictive analytics in the petrochemical industry: Research Octane Number (RON) forecasting and analysis in an industrial catalytic reforming unit
|
Dias, Tiago |
|
|
139 |
C |
p. |
artikel |
27 |
Simulation and health monitoring of a pressure regulating station
|
Leo, Matthew Bryan |
|
|
139 |
C |
p. |
artikel |
28 |
Stochastic data-driven model predictive control using gaussian processes
|
Bradford, Eric |
|
|
139 |
C |
p. |
artikel |
29 |
Transfer learning for process fault diagnosis: Knowledge transfer from simulation to physical processes
|
Li, Weijun |
|
|
139 |
C |
p. |
artikel |
30 |
Understanding chemical production processes by using PLS path model parameters as soft sensors
|
van Kollenburg, Geert H. |
|
|
139 |
C |
p. |
artikel |
31 |
Validity of continuous tuning rules in event-based PI controllers using symmetric send-on-delta sampling: An experimental approach
|
Sánchez, José |
|
|
139 |
C |
p. |
artikel |