nr |
titel |
auteur |
tijdschrift |
jaar |
jaarg. |
afl. |
pagina('s) |
type |
1 |
A closed-loop frequency domain PI retuning technique for multivariable systems
|
de A Aguiar, Anna Paula V |
|
|
54 |
3 |
p. 463-468 |
artikel |
2 |
A combined computational-fluid-dynamics model and control strategies for perfusion bioreactor systems in tissue engineering
|
Nascu, Ioana |
|
|
54 |
3 |
p. 324-329 |
artikel |
3 |
Adaptive Learning of Hybrid Models for Nonlinear Model Predictive Control of Distillation Columns
|
Lüthje, Jannik T. |
|
|
54 |
3 |
p. 37-42 |
artikel |
4 |
Adaptive Tube-Enhanced Multi-Stage Nonlinear Model Predictive Control ⁎ ⁎ This work was supported by TU Dortmund.
|
Abdelsalam, Yehia |
|
|
54 |
3 |
p. 212-218 |
artikel |
5 |
A Data-Driven Automatic Tuning Method for MPC under Uncertainty using Constrained Bayesian Optimization ⁎ ⁎ GM and AM acknowledge the support by the National Aeronautics and Space Administration (NASA) under grant number NNX17AJ31G. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of NASA.
|
Sorourifar, Farshud |
|
|
54 |
3 |
p. 243-250 |
artikel |
6 |
A Design Centering Methodology for Probabilistic Design Space
|
Kusumo, Kennedy P. |
|
|
54 |
3 |
p. 79-84 |
artikel |
7 |
A Distributed Active Set Method for Model Predictive Control
|
Stomberg, Gösta |
|
|
54 |
3 |
p. 263-268 |
artikel |
8 |
Adsorption material composition and process optimization, a systematical approach based on Deep Learning
|
Regufe, Maria João |
|
|
54 |
3 |
p. 43-48 |
artikel |
9 |
Advanced-multi-step Moving Horizon Estimation
|
Kim, Yeonsoo |
|
|
54 |
3 |
p. 269-274 |
artikel |
10 |
A Dynamic Penalty Function Approach for Constraint-Handling in Reinforcement Learning
|
Yoo, Haeun |
|
|
54 |
3 |
p. 487-491 |
artikel |
11 |
A Meta-Reinforcement Learning Approach to Process Control
|
McClement, Daniel G. |
|
|
54 |
3 |
p. 685-692 |
artikel |
12 |
An Adaptive Correction Scheme for Offset-Free Asymptotic Performance in Deep Learning-based Economic MPC ⁎ ⁎ DK gratefully acknowledges the financial support from the IK-TPLUSS project from the Research Council of Norway, and Peder Sather Grant. DK and JP contributed equally to this work.
|
Krishnamoorthy, Dinesh |
|
|
54 |
3 |
p. 584-589 |
artikel |
13 |
An Adaptive Filter for Parameter Estimation of Damped Sinusoidal Signals
|
Jahvani, Mohammad |
|
|
54 |
3 |
p. 354-359 |
artikel |
14 |
An Adaptive Infinite Horizon Model Predictive Control Strategy Applied to an ESP-lifted Oil Well System
|
Santana, Bruno A. |
|
|
54 |
3 |
p. 176-181 |
artikel |
15 |
Analysis of Optimal Control Strategies for Efficient Operation of a Produced Water Reinjection Facility for Mature Fields
|
Ivo, Otavio F. |
|
|
54 |
3 |
p. 115-121 |
artikel |
16 |
Analytical Derivation and Comparison of Alarm Similarity Measures
|
Hossein Kargaran, Amir |
|
|
54 |
3 |
p. 360-365 |
artikel |
17 |
An Automatic System for Modeling and Controlling Color Quality of Dyed Leathers in Tanneries
|
Capaci, Riccardo Bacci di |
|
|
54 |
3 |
p. 164-169 |
artikel |
18 |
A Nonstationary Process Monitoring Based on Mutual Information among Process Variables
|
Ji, Cheng |
|
|
54 |
3 |
p. 451-456 |
artikel |
19 |
An Optimization Framework for Solving Integrated Planning and Scheduling Problems for Dense Energy Carriers
|
Allen, R. Cory |
|
|
54 |
3 |
p. 621-626 |
artikel |
20 |
Anticipated cell lines selection in bioprocess scale-up through machine learning on metabolomics dynamics
|
Barberi, Gianmarco |
|
|
54 |
3 |
p. 85-90 |
artikel |
21 |
Anti-Windup Predictive Control for an Engine Air Path System
|
Mizumoto, Ikuro |
|
|
54 |
3 |
p. 194-199 |
artikel |
22 |
Application of Data-Driven Economic NMPC on a Gas Lifted Well Network ⁎ ⁎ This research is a part of BRU21 – NTNU Research and Innovation Program on Digital and Automation Solutions for the Oil and Gas Industry (www.ntnu.edu/bru21).
|
Andersen, Joakim Rostrup |
|
|
54 |
3 |
p. 275-280 |
artikel |
23 |
Application of Model Predictive Control to the reactive extrusion of e-Caprolactone in a twin-screw extruder ⁎ ⁎ The project leading to this publication has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 820716 (SIMPLIFY). (www.spire2030.eu/simplify)
|
Cegla, Maximilian |
|
|
54 |
3 |
p. 225-230 |
artikel |
24 |
Application of SOS-constrained regression to model unknown reaction kinetics
|
Pitarch, José Luis |
|
|
54 |
3 |
p. 395-400 |
artikel |
25 |
Application of the IFSH Methodology for Plantwide Control for an Evaporator Benchmark Process
|
Pedersen, Morten L. |
|
|
54 |
3 |
p. 146-151 |
artikel |
26 |
A Reduced-order Model for Real-time NMPC of Ethanol Steam Reformers ⁎ ⁎ Financial support from the MIT-Spain Seed Fund is acknowledged.
|
Reyero, Pedro |
|
|
54 |
3 |
p. 103-108 |
artikel |
27 |
A Robust Model Predictive Controller applied to a Pressure Swing Adsorption Process: An Analysis Based on a Linear Model Mismatch
|
Oliveira, Paulo H.M. |
|
|
54 |
3 |
p. 219-224 |
artikel |
28 |
A Simple Combined Dynamic-Equilibrium Model of CO2 Capture by a Pelleted Zeolite Sorbent ⁎ ⁎ This work has been financed by the Research Fund for the Italian Electrical System in compliance with the Decree of Minister of Economic Development April 16, 2018. The support by Fondazione Politecnico di Milano and the National Research Council of Italy (CNR - IEIIT) is also gratefully acknowledged, together with the support by Politecnico di Torino.
|
Bisone, Luigi |
|
|
54 |
3 |
p. 627-632 |
artikel |
29 |
A Simulation Study on Turnpikes in Stochastic LQ Optimal Control
|
Ou, Ruchuan |
|
|
54 |
3 |
p. 516-521 |
artikel |
30 |
Assessment of Demand Response Particibility Potential Based on Cost-Effective Process Design
|
Liu, Yu |
|
|
54 |
3 |
p. 566-571 |
artikel |
31 |
A time-dependent model of pressure drop in reverse osmosis spiral wound membrane modules
|
Ruiz-García, A. |
|
|
54 |
3 |
p. 158-163 |
artikel |
32 |
Compartmental Glycosylation Flux Analysis
|
Aggarwal, Shilpi |
|
|
54 |
3 |
p. 287-293 |
artikel |
33 |
Condition-Driven Soft Transition Modeling and Monitoring Strategy for Complex Nonstationary Process
|
Chen, Xu |
|
|
54 |
3 |
p. 445-450 |
artikel |
34 |
Constrained Q-Learning for Batch Process Optimization
|
Pan, Elton |
|
|
54 |
3 |
p. 492-497 |
artikel |
35 |
Contents
|
|
|
|
54 |
3 |
p. i-vi |
artikel |
36 |
Continuous integrated filtration, washing and drying of aspirin: digital design of a novel intensified unit
|
Destro, Francesco |
|
|
54 |
3 |
p. 134-139 |
artikel |
37 |
Control Contraction Metric Synthesis for Discrete-time Nonlinear Systems
|
Wei, Lai |
|
|
54 |
3 |
p. 661-666 |
artikel |
38 |
Control of a natural gas liquid recovery plant in a GSP unit under feed and composition disturbances
|
Mandis, Marta |
|
|
54 |
3 |
p. 182-187 |
artikel |
39 |
Control of A Polyol Process Using Reinforcement Learning
|
Zhu, Wenbo |
|
|
54 |
3 |
p. 498-503 |
artikel |
40 |
Control of Particle Formation Processes
|
Otto, Eric |
|
|
54 |
3 |
p. 231-236 |
artikel |
41 |
Co-Teaching Approach to Machine Learning-based Predictive Control of Nonlinear Processes ⁎ ⁎ Financial support from the National Science Foundation and the Department of Energy is gratefully acknowledged.
|
Wu, Zhe |
|
|
54 |
3 |
p. 639-646 |
artikel |
42 |
Critical Quality Predictive Control of Fed-Batch Mammalian Cell Bioreactors ⁎ ⁎ A research grant by Amgen to conduct model development studies at Illinois Institute of Technology and a Graduate Co-op position provided to Robert Jackson at Amgen are gratefully acknowledged.
|
Rashid, Mudassir M. |
|
|
54 |
3 |
p. 330-335 |
artikel |
43 |
Data-Driven Process Modeling and Optimization Aided by Material and Energy Balances: The Case of a Batch Polymerization Process
|
Bardooli, Ahmed |
|
|
54 |
3 |
p. 1-6 |
artikel |
44 |
Decision tree analysis on the performance of zeolite-based SCR catalysts
|
Bae, Shin Young |
|
|
54 |
3 |
p. 55-60 |
artikel |
45 |
Deep Transfer Learning based Multisource Adaptation Fault Diagnosis Network for Industrial Processes
|
Chai, Zheng |
|
|
54 |
3 |
p. 49-54 |
artikel |
46 |
Design and Optimization for Simulated Moving Bed: Varicol Approach
|
Matos, Joana |
|
|
54 |
3 |
p. 542-547 |
artikel |
47 |
Developing Soft-Sensor Models Using Latent Dynamic Variational Autoencoders
|
Lee, Yi Shan |
|
|
54 |
3 |
p. 61-66 |
artikel |
48 |
Development of Non-cooperative Distributed Adaptive MPC Schemes based on ARX Models parameterized using Orthonormal Basis Filters
|
Sailo, Sairengpuia |
|
|
54 |
3 |
p. 257-262 |
artikel |
49 |
Different control strategies for a yeast fermentation bioreactor
|
Lisci, Silvia |
|
|
54 |
3 |
p. 306-311 |
artikel |
50 |
DISCOPOLIS 2.0: a new recursive version of the algorithm for uniform sampling of metabolic flux distributions with linear programming
|
Bogaerts, Philippe |
|
|
54 |
3 |
p. 300-305 |
artikel |
51 |
Dual Adaptive Model Predictive Control with Disturbances
|
Cai, Zicheng |
|
|
54 |
3 |
p. 206-211 |
artikel |
52 |
Dual mode finite-time seeking control for a class of unknown dynamical system
|
Guay, Martin |
|
|
54 |
3 |
p. 31-36 |
artikel |
53 |
Dynamic Modeling of a Batch Sludge Settling Column by Partial Differential Non Linear Equations with a Moving Interface
|
Valentin, Claire |
|
|
54 |
3 |
p. 13-18 |
artikel |
54 |
Dynamics and productivity of microalgae in presence of predators ⁎ ⁎ This work was supported by the French government through the UCAJEDI and EUR DS4H investments in the Future projects managed by the National Research Agency (ANR) with the reference numbers ANR-15-IDEX-0001. This research work benefited from the support of the FMJH’s PGMO programme and the support of EDF-THALES-ORANGE to this programme.
|
Martínez, Carlos |
|
|
54 |
3 |
p. 673-678 |
artikel |
55 |
Efficient Utilization of Active Carbon in a Blast Furnace through a Black-Box Model-Based Optimizing Control Scheme ⁎ ⁎ The project leading to this publication has received funding from the Bundesministerium fur Wirtschaft und Energie under the grant agreement number 03ET1524B. The responsibility for the content of this publication lies solely with the authors.
|
Azadi, Pourya |
|
|
54 |
3 |
p. 128-133 |
artikel |
56 |
Enclosing Reachable Sets for Nonlinear Control Systems using Complementarity-Based Intervals
|
Cao, Huiyi |
|
|
54 |
3 |
p. 590-595 |
artikel |
57 |
Energy and Carbon-Constrained Production Planning with Parametric Uncertainties
|
Chaturvedi, Nitin Dutt |
|
|
54 |
3 |
p. 560-565 |
artikel |
58 |
Estimation-Based Predictive Control of Nonlinear Processes Using Recurrent Neural Networks ⁎ ⁎ Financial support from the National Science Foundation and the Department of Energy is gratefully acknowledged. Mohammed Alhajeri would like to express his sincere appreciation to Kuwait University for its support through the KU-scholarship program.
|
Alhajeri, Mohammed S. |
|
|
54 |
3 |
p. 91-96 |
artikel |
59 |
Experimental application of individual column state and parameter estimation in SMB processes to an amino acid separation
|
Gerlich, Stefanie |
|
|
54 |
3 |
p. 348-353 |
artikel |
60 |
Fast Dynamic Simulation of Distillation Columns with Local Thermodynamic Models and Adomian Decomposition
|
Fernandes, Pedro R.B. |
|
|
54 |
3 |
p. 383-388 |
artikel |
61 |
Filtering and Smoothing of Hidden Monotonic Trends and Application to Fouling Detection ⁎ ⁎ The authors would like to thank Natural Sciences and Engineering Research Council (NSERC), Canada for supporting this work.
|
Chiplunkar, Ranjith |
|
|
54 |
3 |
p. 427-432 |
artikel |
62 |
Generalized System Identification for Nonlinear MPC of Highly Nonlinear MIMO Systems ⁎ ⁎ The authors thank the MOE AcRF Grant in Singapore for fnan-cial support of the projects on Precision Healthcare Development, Manufacturing and Supply Chain Optimization (R-279-000-513-133) and Advanced Process Control and Machine Learning Methods for Enhanced Continuous Manufacturing of Pharmaceutical Products (R-279-000-541-114).
|
Chee, Ewan |
|
|
54 |
3 |
p. 366-371 |
artikel |
63 |
Graph-Based Modeling and Decomposition of Energy Infrastructures ⁎ ⁎ We acknowledge support from the Grainger Wisconsin Distinguished Graduate Fellowship.
|
Shin, Sungho |
|
|
54 |
3 |
p. 693-698 |
artikel |
64 |
H2 purity control of high-pressure alkaline electrolyzers
|
David, Martín |
|
|
54 |
3 |
p. 109-114 |
artikel |
65 |
Identifiability and physical interpretability of hybrid, gray-box models - a case study
|
Hotvedt, M. |
|
|
54 |
3 |
p. 389-394 |
artikel |
66 |
Identification and Online Updating of Dynamic Models for Demand Response of an Industrial Air Separation Unit
|
Tsay, Calvin |
|
|
54 |
3 |
p. 140-145 |
artikel |
67 |
Improving Autoencoder Training with novel Goal Functions based on Multivariable Control Concepts
|
Martello, Rafael H. |
|
|
54 |
3 |
p. 73-78 |
artikel |
68 |
Individualized PID Tuning for Maintenance of General Anesthesia with Propofol
|
Schiavo, Michele |
|
|
54 |
3 |
p. 679-684 |
artikel |
69 |
Integration of Planning, Scheduling, and Control for Multi-product Chemical Systems under Preventive Maintenance
|
Peng, Yanshuo |
|
|
54 |
3 |
p. 536-541 |
artikel |
70 |
Integration of Scheduling and Control Under Stochastic Parametric Uncertainty with Varying Unit Operation Times for Chemical Batch Plants: A Back-Off Approach
|
Rodríguez Vera, Héctor Uriel |
|
|
54 |
3 |
p. 578-583 |
artikel |
71 |
Interval state estimation based on constraint propagation for a lithium-ion cell using an equivalent circuit model ⁎ ⁎ This work has been supported by the Italian Ministry for Research in the framework of the 2017 PRIN, Grant no. 2017YKXYXJ, the brazilian project INCT under the grant CNPq 465755/2014-3, FAPESP 2014/50851-0, and also by the brazilian agencies CAPES under the grants 001 and 88887.136349/2017-00, and FAPEMIG.
|
Locatelli, D. |
|
|
54 |
3 |
p. 602-608 |
artikel |
72 |
Koopman-based data-driven control for continuous fluidized bed spray granulation
|
Maksakov, Anton |
|
|
54 |
3 |
p. 372-377 |
artikel |
73 |
Latent Variables Model Based MPC for People with Type 1 Diabetes
|
Sun, Xiaoyu |
|
|
54 |
3 |
p. 294-299 |
artikel |
74 |
Learning physics based models of Lithium-ion Batteries
|
Mckay, Maricela Best |
|
|
54 |
3 |
p. 97-102 |
artikel |
75 |
Local parameter identifiability of large-scale nonlinear models based on the output sensitivity covariance matrix ⁎ ⁎ This project is co-funded by TKI-E & I with the supplementary grant ‘TKI- Toeslag’ for Topconsortia for Knowledge and Innovation (TKI’s) of the Ministry of Economic Affairs and Climate Policy. This is an Institute of Sustainable Process Technology (ISPT) project.
|
Méndez-Blanco, Carlos S. |
|
|
54 |
3 |
p. 415-420 |
artikel |
76 |
Long-term dependency slow feature analysis for dynamic process monitoring
|
Gao, Xinrui |
|
|
54 |
3 |
p. 421-426 |
artikel |
77 |
Lyapunov Stability of Periodic Control on a Continuous Stirred Tank Reactor ⁎ ⁎ This research is supported by partial funding from Center for Advanced Process Decision-making (CAPD) at Carnegie Mellon University
|
Noronha, Eyan P. |
|
|
54 |
3 |
p. 633-638 |
artikel |
78 |
Many-Objective Simulation-Based Optimization of an Air Separation Unit
|
Salas, Santiago D. |
|
|
54 |
3 |
p. 522-527 |
artikel |
79 |
Mathematical Modelling of Rheological Properties of Low-density Polyethylene Produced in High-Pressure Tubular Reactors
|
Dietrich, Maira L. |
|
|
54 |
3 |
p. 378-382 |
artikel |
80 |
Maximum-likelihood extremum seeking control of microalgae cultures
|
Dewasme, Laurent |
|
|
54 |
3 |
p. 336-341 |
artikel |
81 |
Mixing strategies combined with shape design to enhance productivity of a raceway pond
|
Bernard, Olivier |
|
|
54 |
3 |
p. 281-286 |
artikel |
82 |
Model-free safe reinforcement learning for chemical processes using Gaussian processes
|
Savage, Thomas |
|
|
54 |
3 |
p. 504-509 |
artikel |
83 |
Modeling of milk acidification
|
Robles-Rodriguez, C.E. |
|
|
54 |
3 |
p. 409-414 |
artikel |
84 |
Modelling for Control of Biodiesel Microreactors
|
Ajeni, Michael O. |
|
|
54 |
3 |
p. 312-317 |
artikel |
85 |
Moment-based dissipative observer design for cell population balance models ⁎ ⁎ Funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) – Project-ID 395461267.
|
Schaum, A. |
|
|
54 |
3 |
p. 433-438 |
artikel |
86 |
Moment-based Kalman Filter design for cell population balance models in batch fermentation processes ⁎ ⁎ Funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) - Project-ID 395461267.
|
Jerono, P. |
|
|
54 |
3 |
p. 19-24 |
artikel |
87 |
MTX-LAB controlled by Multi-SISO PID controllers
|
Souza, Fernanda B. de |
|
|
54 |
3 |
p. 457-462 |
artikel |
88 |
Multi-Channel Graph Convolutional Network based End-Point Element Composition Prediction of Converter Steelmaking
|
Chang, Shuchao |
|
|
54 |
3 |
p. 152-157 |
artikel |
89 |
Multi-source Heterogeneous Data Fusion for Toxin Level Quantification
|
Strelet, Eugeniu |
|
|
54 |
3 |
p. 67-72 |
artikel |
90 |
Multi-step Greedy Reinforcement Learning Based on Model Predictive Control
|
Yang, Yucheng |
|
|
54 |
3 |
p. 699-705 |
artikel |
91 |
Non-intrusive Time-POD for Optimal Control of a Fixed-Bed Reactor for CO2 Methanation
|
Bremer, Jens |
|
|
54 |
3 |
p. 122-127 |
artikel |
92 |
Nonlinear state feedback control design for port-Hamiltonian systems with unstructured component ⁎ ⁎ This research was supported by The Natural Sciences and Engineering Research Council of Canada (NSERC) via the Discovery Grant program.
|
Alavi, Seyedabbas |
|
|
54 |
3 |
p. 554-559 |
artikel |
93 |
Observer-Based Distributed Sensor Fault-Tolerant Model Predictive Control for Intermittent Faults ⁎ ⁎ This work is supported by National Natural Science Foundation of China (Grant No. 61833007, 61773183).
|
Xiao, Guannan |
|
|
54 |
3 |
p. 251-256 |
artikel |
94 |
Online wear detection for joints in progressing cavity pumps
|
Müller, J. |
|
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54 |
3 |
p. 188-193 |
artikel |
95 |
On the dynamics and robustness of the chemostat with multiplicative noise
|
Schaum, A. |
|
|
54 |
3 |
p. 342-347 |
artikel |
96 |
Optimal Control of Crystal Size and Shape in Batch Crystallization Using a Bivariate Population Balance Modeling
|
de Moraes, Marcellus G.F. |
|
|
54 |
3 |
p. 653-660 |
artikel |
97 |
Optimal Design and Control of a Multiscale Model for a Packed Bed Chemical-Looping Combustion Reactor
|
Toffolo, Kathryn |
|
|
54 |
3 |
p. 615-620 |
artikel |
98 |
Optimal Design of SMB Units: A Novel Strategy Based on Particles Swarm Optimization
|
Matos, Joana |
|
|
54 |
3 |
p. 548-553 |
artikel |
99 |
Optimal Feed Trajectories for Fedbatch Fermentation with Substrate Inhibition Kinetics
|
Ryde, Thomas Emil |
|
|
54 |
3 |
p. 318-323 |
artikel |
100 |
Optimal Resource Allocation using Distributed Feedback-based Real-time Optimization ⁎ ⁎ The authors gratefully acknowledge the financial support from SUBPRO, which is financed by the Research Council of Norway, major industry partners and NTNU. D.K also acknowledges financial support from the Research Council of Norway, under the IKTPLUSS program (Project number 299585)
|
Dirza, Risvan |
|
|
54 |
3 |
p. 706-711 |
artikel |
101 |
Optimising Carbon Capture and Storage Supply Chains for the European Industry ⁎ ⁎ This research was supported by the Department of Industrial Engineering, University of Padova (grant 2019DII126: ‘Optimising supply chains for carbon capture, transport, utilisation, and sequestration, including emission points from industrial clusters’).
|
d’Amore, Federico |
|
|
54 |
3 |
p. 609-614 |
artikel |
102 |
Optimization of microfluidic layouts as a wired packing problem
|
Andriamiseza, Sanjy |
|
|
54 |
3 |
p. 528-535 |
artikel |
103 |
PIO Based Data-Driven Iterative Learning Control for Nonlinear Batch Processes with Nonrepetitive Disturbances Subject to Input Constraints ⁎ ⁎ This work was supported in part by the NSF China Grants 61903060 and 61633006, the China Postdoctoral Science Foundation under Grant 2019M651113, the Talent Project of Revitalizing Liaoning (XLYC1902030).
|
Hao, Shoulin |
|
|
54 |
3 |
p. 25-30 |
artikel |
104 |
Predictive control of activated sludge plants to supply nitrogen for optimal crop growth
|
Neto, Otacílio B.L. |
|
|
54 |
3 |
p. 200-205 |
artikel |
105 |
Real-time optimization with persistent parameter adaptation applied to experimental rig
|
Matias, José |
|
|
54 |
3 |
p. 475-480 |
artikel |
106 |
Robust Economic Model Predictive Control with Zone Control ⁎ ⁎ This work is supported in part by the Natural Sciences and Engineering Research Council of Canada (NSERC).
|
Decardi-Nelson, Benjamin |
|
|
54 |
3 |
p. 237-242 |
artikel |
107 |
Robust Multi-Scenario Dynamic Real-Time Optimization with Embedded Closed-Loop Model Predictive Control
|
MacKinnon, Lloyd |
|
|
54 |
3 |
p. 481-486 |
artikel |
108 |
Selection of a Minimal Suboptimal Set of EFMs for Dynamic Metabolic Modelling
|
Maton, M. |
|
|
54 |
3 |
p. 667-672 |
artikel |
109 |
Sensor Fusion and Computer Vision Integrated System for Primary Separation Vessel Interface Level Estimation
|
Wang, Jingyi |
|
|
54 |
3 |
p. 170-175 |
artikel |
110 |
Set-membership Estimation using Ellipsoidal Ensembles
|
Valiauga, Petra |
|
|
54 |
3 |
p. 596-601 |
artikel |
111 |
Simple Model and Predictive Control of a Pharmaceutical Batch Fluidized Bed Dryer
|
Gagnon, Francis |
|
|
54 |
3 |
p. 7-12 |
artikel |
112 |
Simultaneous Process Design and Control Optimization using Reinforcement Learning
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Hofmann, Julian |
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