Online learning‐based predictive control of crystallization processes under batch‐to‐batch parametric drift

Machine learning-based reduced-order modeling and predictive control of nonlinear processes

(2022) Tianyi Zhao et al.   CHEMICAL ENGINEERING RESEARCH & DESIGN

Machine Learning Modeling and Predictive Control of the Batch Crystallization Process

(2022) Yingzhe Zheng et al.   INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH

Online learning‐based model predictive control with Gaussian process models and stability guarantees

(2021) Michael Maiworm et al.   INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL

Online Learning: A Comprehensive Survey

(2021) Steven C. H. Hoi et al.   NEUROCOMPUTING

Recurrent Neural-Network-Based Model Predictive Control of a Plasma Etch Process

(2021) Tianqi Xiao et al.   INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH

In-situ and real-time aggregation size evolution of copper sulfide precipitates using focused beam reflectance measurement (FBRM)

(2020) Lorena Barros et al.   POWDER TECHNOLOGY

Crystallization of fesoterodine fumarate active pharmaceutical ingredient: Modelling of thermodynamic equilibrium, nucleation, growth, agglomeration and dissolution kinetics and temperature cycling

(2019) Marko Trampuž et al.   CHEMICAL ENGINEERING SCIENCE

Real-Time Adaptive Machine-Learning-Based Predictive Control of Nonlinear Processes

(2019) Zhe Wu et al.   INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH

Real-time Particle Size Analysis Using the Focused Beam Reflectance Measurement Probe for In Situ Fabrication of Polyacrylamide–Filler Composite Materials

(2019) Sivashunmugam Sankaranarayanan et al.   Scientific Reports

Machine learning‐based predictive control of nonlinear processes. Part I: Theory

(2019) Zhe Wu et al.   AICHE JOURNAL

Comparative study on ATR-FTIR calibration models for monitoring solution concentration in cooling crystallization

(2017) Fangkun Zhang et al.   JOURNAL OF CRYSTAL GROWTH

Error-triggered on-line model identification for model-based feedback control

(2016) Anas Alanqar et al.   AICHE JOURNAL

Iterative learning model predictive control for constrained multivariable control of batch processes

(2016) Se-Kyu Oh et al.   COMPUTERS & CHEMICAL ENGINEERING

A method for handling batch-to-batch parametric drift using moving horizon estimation: Application to run-to-run MPC of batch crystallization

(2015) Joseph Sang-Il Kwon et al.   CHEMICAL ENGINEERING SCIENCE

Detection and Isolation of Batch-to-Batch Parametric Drift in Crystallization Using In-Batch and Post-Batch Measurements

(2015) Joseph Sang-Il Kwon et al.   INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH

Run-to-Run-Based Model Predictive Control of Protein Crystal Shape in Batch Crystallization

(2014) Joseph Sang-Il Kwon et al.   INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH

Industry Perspectives on Process Analytical Technology: Tools and Applications in API Development

(2014) Arani Chanda et al.   ORGANIC PROCESS RESEARCH & DEVELOPMENT

Development of an empirical method relating crystal size distributions and FBRM measurements

(2012) Huayu Li et al.   CHEMICAL ENGINEERING SCIENCE

Integrated batch-to-batch and nonlinear model predictive control for polymorphic transformation in pharmaceutical crystallization

(2010) Martin Wijaya Hermanto et al.   AICHE JOURNAL

Continuous Plug Flow Crystallization of Pharmaceutical Compounds

(2010) Alejandro J. Alvarez et al.   CRYSTAL GROWTH & DESIGN

Batch-to-Batch Iterative Learning Control of a Batch Polymerization Process Based on Online Sequential Extreme Learning Machine

(2009) Tang Ao et al.   INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH

Survey on iterative learning control, repetitive control, and run-to-run control

(2009) Youqing Wang et al.   JOURNAL OF PROCESS CONTROL

Fesoterodine: a novel muscarinic receptor antagonist for the treatment of overactive bladder syndrome

(2008) Martin C Michel   EXPERT OPINION ON PHARMACOTHERAPY