Adaptive System Identification of Industrial Ethylene Splitter: A Comparison of Subspace Identification and Artificial Neural Networks

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

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Real-Time Optimization and Control of Nonlinear Processes Using Machine Learning

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Application of neural networks for optimal-setpoint design and MPC control in biological wastewater treatment

(2018) Mahsa Sadeghassadi et al.   COMPUTERS & CHEMICAL ENGINEERING

Subspace Identification-Based Modeling and Control of Batch Particulate Processes

(2017) Abhinav Garg et al.   INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH

Subspace identification for data-driven modeling and quality control of batch processes

(2016) Brandon Corbett et al.   AICHE JOURNAL

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

(2016) Anas Alanqar et al.   AICHE JOURNAL

A Bias and Variance Analysis for Multistep-Ahead Time Series Forecasting

(2016) Souhaib Ben Taieb et al.   IEEE Transactions on Neural Networks and Learning Systems

Operational optimization of crude oil distillation systems using artificial neural networks

(2013) Lluvia M. Ochoa-Estopier et al.   COMPUTERS & CHEMICAL ENGINEERING

Application of Feed Forward and Recurrent Neural Network Topologies for the Modeling and Identification of Binary Distillation Column

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Ethylene separation by feed-splitting from light gases

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