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Model identification and control of solution crystallization processes: a review
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First-principles and direct design approaches for the control of pharmaceutical crystallization
inferred← citeshttps://doi.org/10.1016/j.jprocont.2006.10.008openalex-snapshot
Distributional uncertainty analysis using power series and polynomial chaos expansions
inferred← citeshttps://doi.org/10.1016/j.jprocont.2007.10.006openalex-snapshot
Comparative performance of concentration and temperature controlled batch crystallizations
inferred← citeshttps://doi.org/10.1016/j.jprocont.2008.01.005openalex-snapshot
Profile control in distributed parameter systems using lexicographic optimization based MPC
inferred← citeshttps://doi.org/10.1016/j.jprocont.2008.06.002openalex-snapshot
Modelling and control of combined cooling and antisolvent crystallization processes
inferred← citeshttps://doi.org/10.1016/j.jprocont.2010.06.005openalex-snapshot
Modeling and control system design of an industrial crystallizer train for para-xylene recovery
inferred← citeshttps://doi.org/10.1016/j.jprocont.2013.07.011openalex-snapshot
JITL-based concentration control for semi-batch pH-shift reactive crystallization of l-glutamic acid
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Simultaneous design and control of an industrial two-stage mixed suspension mixed product removal crystallizer
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Nonlinear model predictive control of crystal size in batch cooling crystallization processes
inferred← citeshttps://doi.org/10.1016/j.jssc.2018.11.019openalex-snapshot
Facile synthesis of Cu2O particles with different morphologies
inferred← citeshttps://doi.org/10.1016/j.jtice.2016.05.001openalex-snapshot
Dynamics and control of continuous reactive crystallization processes
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Adsorption equilibrium of binary mixtures of carbon dioxide and nitrogen on zeolites ZSM-5 and 13X
inferred← citeshttps://doi.org/10.1016/j.powtec.2007.01.021openalex-snapshot
Control of particulate processes: Recent results and future challenges
inferred← citeshttps://doi.org/10.1016/j.powtec.2017.05.013openalex-snapshot
Modeling zirconia nanoparticles prepared by supercritical water hydrothermal synthesis using population balance equation
inferred← citeshttps://doi.org/10.1016/j.powtec.2018.05.008openalex-snapshot
Quantitative Design of Seed Load Based on model identification of nucleation and crystal growth stages without transmittance data
inferred← citeshttps://doi.org/10.1016/j.powtec.2025.121403openalex-snapshot
Optimization of crystal size distribution concerning objective function effects during batch cooling crystallization
inferred← citeshttps://doi.org/10.1016/j.powtec.2025.122083openalex-snapshot
Optimal control of batch cooling crystallization under considering nucleation uncertainty
inferred← citeshttps://doi.org/10.1016/j.proeng.2012.07.438openalex-snapshot
Dynamic Optimization and Robust Control of Batch Crystallization
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Modelling and control of crystallization process
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Multiscale modeling, simulation and validation of batch cooling crystallization
inferred← citeshttps://doi.org/10.1016/j.supflu.2016.12.014openalex-snapshot
Fast synthesis of CuS and Cu9S5 microcrystal using subcritical and supercritical methanol and their application in photocatalytic degradation of dye in water
inferred← citeshttps://doi.org/10.1016/j.supflu.2018.02.017openalex-snapshot
Supercritical water hydrothermal synthesis of Bi2O3 nanoparticles: Process optimization using response surface methodology based on population balance equation
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Direct growth and shape control of Cu2O film via one-step chemical bath deposition
inferred← citeshttps://doi.org/10.1016/j.watres.2005.12.025openalex-snapshot
Advances in distributed parameter approach to the dynamics and control of activated sludge processes for wastewater treatment
inferred← citeshttps://doi.org/10.1016/s0009-2509(00)00185-8openalex-snapshot
Modelling gibbsite agglomeration in a constant supersaturation crystallizer
inferred← citeshttps://doi.org/10.1016/s0009-2509(00)00208-6openalex-snapshot
Model predictive control of continuous yeast bioreactors using cell population balance models
inferred← citeshttps://doi.org/10.1016/s0009-2509(00)00432-2openalex-snapshot
Modeling and simulation of crystallization processes using parsival
inferred← citeshttps://doi.org/10.1016/s0009-2509(00)00448-6openalex-snapshot
A population model for crystallization processes using two independent particle properties
inferred← citeshttps://doi.org/10.1016/s0009-2509(00)00451-6openalex-snapshot
The influence of crystalliser configuration on the accuracy and precision of gibbsite crystallisation kinetics estimates
inferred← citeshttps://doi.org/10.1016/s0009-2509(01)00386-4openalex-snapshot
Population balance modeling. Promise for the future
inferred← citeshttps://doi.org/10.1016/s0009-2509(02)00349-4openalex-snapshot
Comparison of numerical methods for the simulation of dispersed phase systems
inferred← citeshttps://doi.org/10.1016/s0009-2509(02)00354-8openalex-snapshot
Population balance modelling and H∞—controller design for a crystallization process
inferred← citeshttps://doi.org/10.1016/s0009-2509(03)00216-1openalex-snapshot
Computationally efficient solution of population balance models incorporating nucleation, growth and coagulation: application to emulsion polymerization
inferred← citeshttps://doi.org/10.1016/s0009-2509(96)00482-4openalex-snapshot
Model identification of batch cooling crystallizations through calorimetry and image analysis
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