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Zoltán K. Nagy
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2020 – today
- 2024
- [j24]Yan-Shu Huang
, Rexonni B. Lagare
Hybrid model development and nonlinear model predictive control implementation for continuous dry granulation process. Comput. Chem. Eng. 183: 108586 (2024) - 2023
- [j23]Daniel J. Laky
Using PharmaPy with Jupyter Notebook to teach digital design in pharmaceutical manufacturing. Comput. Appl. Eng. Educ. 31(6): 1662-1677 (2023) - [c9]Ioana Nascu, Nikolaos A. Diangelakis, Yan-Shu Huang
Multi-Parametric Model Predictive Control Strategies for a Rotary Tablet Press in Pharmaceutical Industry. SMC 2023: 3540-3545 - 2022
- [j22]Yung-Shun Kang, Jeffrey D. Ward, Zoltán K. Nagy:
A new framework and a hybrid method for one-dimensional population balance modeling of batch thermocycling crystallization. Comput. Chem. Eng. 157: 107588 (2022) - [j21]Francesco Destro
A benchmark simulator for quality-by-design and quality-by-control studies in continuous pharmaceutical manufacturing ‒ Intensified filtration-drying of crystallization slurries. Comput. Chem. Eng. 163: 107809 (2022) - 2021
- [j20]Qun Wu, Wenli Du, Zoltán K. Nagy:
Steady-state target calculation integrating economic optimization for constrained model predictive control. Comput. Chem. Eng. 145: 107145 (2021) - [j19]Daniel Casas-Orozco
PharmaPy: An object-oriented tool for the development of hybrid pharmaceutical flowsheets. Comput. Chem. Eng. 153: 107408 (2021) - [j18]Zhong-Sheng Chen
Integrating virtual sample generation with input-training neural network for solving small sample size problems: application to purified terephthalic acid solvent system. Soft Comput. 25(8): 6489-6504 (2021)
2010 – 2019
- 2019
- [j17]Qun Wu, Yugeng Xi, Zoltán K. Nagy
Economic optimization in transient processes for model predictive control with a dynamic reference trajectory. Comput. Chem. Eng. 121: 224-231 (2019) - [j16]Dimitrios Fysikopoulos, Brahim Benyahia
A framework for model reliability and estimability analysis of crystallization processes with multi-impurity multi-dimensional population balance models. Comput. Chem. Eng. 122: 275-292 (2019) - [j15]Qinglin Su, Sudarshan Ganesh
A perspective on Quality-by-Control (QbC) in pharmaceutical continuous manufacturing. Comput. Chem. Eng. 125: 216-231 (2019) - [j14]Botond Szilágyi, Zoltán K. Nagy:
Model-based analysis and quality-by-design framework for high aspect ratio crystals in crystallizer-wet mill systems using GPU acceleration enabled optimization. Comput. Chem. Eng. 126: 421-433 (2019) - [j13]Nahid Sanzida
Strategic evaluation of different direct nucleation control approaches for controlling batch cooling crystallisation via simulation and experimental case studies. Comput. Chem. Eng. 130 (2019) - 2018
- [j12]Qun Wu
A real-time optimization framework for the time-varying economic environment. Comput. Chem. Eng. 115: 333-341 (2018) - 2016
- [j11]Botond Szilágyi, Zoltán K. Nagy:
Graphical processing unit (GPU) acceleration for numerical solution of population balance models using high resolution finite volume algorithm. Comput. Chem. Eng. 91: 167-181 (2016) - 2015
- [j10]Elçin Içten
Process control of a dropwise additive manufacturing system for pharmaceuticals using polynomial chaos expansion based surrogate model. Comput. Chem. Eng. 83: 221-231 (2015) - [c8]Qinglin Su, Chris D. Rielly, Zoltán K. Nagy:
Simultaneous design and control framework for multi-segment multi-addition plug-flow crystallizer for anti-solvent crystallizations. ACC 2015: 4276-4281 - [c7]Yang Yang
Application of nonlinear model predictive control in continuous crystallization systems. ACC 2015: 4282-4287 - 2014
- [j9]Mahmoud Abdulwahed, Zoltán K. Nagy:
The impact of different preparation modes on enhancing the undergraduate process control engineering laboratory: A comparative study. Comput. Appl. Eng. Educ. 22(1): 110-119 (2014) - [c6]Bradley J. Ridder
Population balance model based multi-objective optimization and robustness analysis of a continuous plug flow antisolvent crystallizer. ACC 2014: 3530-3535 - 2013
- [j8]Mahmoud Abdulwahed, Zoltán K. Nagy:
Developing the TriLab, a triple access mode (hands-on, virtual, remote) laboratory, of a process control rig using LabVIEW and Joomla. Comput. Appl. Eng. Educ. 21(4): 614-626 (2013) - [j7]Nahid Sanzida
Iterative learning control for the systematic design of supersaturation controlled batch cooling crystallisation processes. Comput. Chem. Eng. 59: 111-121 (2013) - 2012
- [j6]Ali Mesbah, Zoltán K. Nagy, Adrie E. M. Huesman, Herman J. M. Kramer, Paul M. J. Van den Hof
Nonlinear Model-Based Control of a Semi-Industrial Batch Crystallizer Using a Population Balance Modeling Framework. IEEE Trans. Control. Syst. Technol. 20(5): 1188-1201 (2012) - 2011
- [j5]Mahmoud Abdulwahed, Zoltán K. Nagy:
The TriLab, a novel ICT based triple access mode laboratory education model. Comput. Educ. 56(1): 262-274 (2011) - 2010
- [c5]Zoltán K. Nagy, Richard D. Braatz:
Distributional uncertainty analysis using polynomial chaos expansions. CACSD 2010: 1103-1108
2000 – 2009
- 2009
- [j4]Raluca Roman, Zoltán K. Nagy, Mircea Vasile Cristea
Dynamic modelling and nonlinear model predictive control of a Fluid Catalytic Cracking Unit. Comput. Chem. Eng. 33(3): 605-617 (2009) - [j3]Zoltán K. Nagy:
Model based robust control approach for batch crystallization product design. Comput. Chem. Eng. 33(10): 1685-1691 (2009) - 2008
- [c4]Levente L. Simon, Zoltán K. Nagy, Konrad Hungerbuehler:
On-line model based control of a safety constrained batch reactor subject to recipe uncertainties. ACC 2008: 1661-1666 - 2007
- [j2]Renato Lepore, Alain Vande Wouwer, Marcel Remy, Rolf Findeisen
Optimization strategies for a MMA polymerization reactor. Comput. Chem. Eng. 31(4): 281-291 (2007) - 2004
- [c3]Zoltán K. Nagy, Frank Allgöwer
Nonlinear model predictive control: From chemical industry to microelectronics. CDC 2004: 4249-4254 - 2003
- [j1]Zoltán K. Nagy, Richard D. Braatz:
Worst-case and distributional robustness analysis of finite-time control trajectories for nonlinear distributed parameter systems. IEEE Trans. Control. Syst. Technol. 11(5): 694-704 (2003) - 2001
- [c2]Rolf Findeisen, Moritz Diehl, Zoltán K. Nagy, Frank Allgöwer
Computational feasibility and performance of nonlinear model predictive control schemes. ECC 2001: 957-961 - 2000
- [c1]Zoltán K. Nagy, Rolf Findeisen
Real-time feasibility of nonlinear predictive control for large scale processes-a case study. ACC 2000: 4249-4253
Coauthor Index
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