Dirk Vries
TitleCited byYear
Comparison of ceramic and polymeric membrane permeability and fouling using surface water
B Hofs, J Ogier, D Vries, EF Beerendonk, ER Cornelissen
Separation and Purification Technology 79 (3), 365-374, 2011
On adaptive optimal input design: a bioreactor case study
JD Stigter, D Vries, KJ Keesman
AIChE journal 52 (9), 3290-3296, 2006
On Adaptive Optimal Input Design: A Bioreactor Case Study
KJ Keesman, JD Stigter, D Vries
AIChE journal, 3290-3296, 2006
Iron and manganese removal: Recent advances in modelling treatment efficiency by rapid sand filtration
D Vries, C Bertelkamp, FS Kegel, B Hofs, J Dusseldorp, JH Bruins, ...
Water Research 109, 35-45, 2017
Global optimization for integrated design and control of computationally expensive process models
JA Egea, D Vries, AA Alonso, JR Banga
Industrial & Engineering Chemistry Research 46 (26), 9148-9157, 2007
A Luenberger observer for an infinite dimensional bilinear system: a UV disinfection example
D Vries, KJ Keesman, H Zwart
IFAC Proceedings Volumes 40 (20), 667-672, 2007
A resilience assessment method for urban water systems
C Makropoulos, D Nikolopoulos, L Palmen, S Kools, A Segrave, D Vries, ...
Urban Water Journal, 1-13, 2018
Towards zero liquid discharge in the presence of silica: Stable 98% recovery in nanofiltration and reverse osmosis
SS Cob, C Yeme, B Hofs, ER Cornelissen, D Vries, FEG GŁner, ...
Separation and Purification Technology 140, 23-31, 2015
Luenberger boundary observer synthesis for Sturm–Liouville systems
D Vries, KJ Keesman, H Zwart
International Journal of Control 83 (7), 1504-1514, 2010
Assessment of manganese removal from over 100 groundwater treatment plants
JH Bruins, D Vries, B Petrusevski, YM Slokar, MD Kennedy
Journal of Water Supply: Research and Technology-Aqua 63 (4), 268-280, 2014
On a QSAR approach for the prediction of priority compound degradation by water treatment processes
BA Wols, D Vries
Water Science and Technology 66 (7), 1446-1453, 2012
Estimation and prediction of convection-diffusion-reaction systems from point measurements
D Vries
On adaptive optimal input design
JD Stigter, D Vries, KJ Keesman
European Control Conference (ECC), 2003, 393-398, 2003
Hybrid system modeling and identification of cell biology systems: perspectives and challenges
D Vries, PJT Verheijen, AJ den Dekker
Proceedings of the 15th IFAC Symposium on System Identification, SYSID, 2009
Influence of water type and pretreatment method on fouling and performance of an Al 2 O 3 microfiltration membrane
B Hofs, D Vries, WG Siegers, EF Beerendonk, ER Cornelissen
Desalination 299, 28-34, 2012
Application of machine learning techniques to predict anomalies in water supply networks
D Vries, B van den Akker, E Vonk, W de Jong, J van Summeren
Water Science and Technology: Water Supply, ws2016062, 2016
Application of machine learning techniques to predict anomalies in water supply networks
JS D. Vries, B. van den Akker, E. Vonk, W. de Jong
Water Science and Technology: Water Supply 16 (2), 2016
Probabilistic backtracing of drinking water contamination events in a stochastic world
P Van Thienen, D Vries, B De Graaf, M Van de Roer, P Schaap, ...
Procedia Engineering 70, 1688-1696, 2014
Modeling and control of water disinfection process in annular photoreactors
KJ Keesman, D Vries, S van Mourik, H Zwart
Control Conference (ECC), 2007 European, 4778-4784, 2007
Influence of Temperature, Network Diagnostics, and Demographic Factors on Discoloration-Related Customer Reports
J van Summeren, B Raterman, E Vonk, M Blokker, J van Erp, D Vries
Procedia Engineering 119, 416-425, 2015
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