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Assessing the reliability of different real-time optimization methodologies

Published:2016-02-01 Issue:3 Volume:94 Page:485-497
ISSN:0008-4034
Container-title:The Canadian Journal of Chemical Engineering
language:en
Short-container-title:Can. J. Chem. Eng.

Author:

Mendoza Diego Fernando¹,Graciano José Eduardo Alves²,dos Santos Liporace Fabio³,Le Roux Galo Antonio Carrillo²

Affiliation:

1. Universidad Autónoma del Caribe; Departamento de Ingeniería Mecánica; Barranquilla Colombia

2. Universidade de São Paulo; Escola Politécnica; Departamento de Engenharia Química; São Paulo, SP-Brazil

3. CENPES/PETROBRAS S. A.; Rio de Janeiro Brazil

Publisher

Wiley

Subject

General Chemical Engineering

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1002/cjce.22402/fullpdf

Reference22 articles.

1. Iterative Algorithms for Multilayer Optimizing Control

2. RTO: An overview and assessment of current practice

3. On-line Statistical Results Analysis in Real-Time Operations Optimization

4. A note on approximation techniques used for process optimization

5. Model adequacy requirements for optimizing plant operations

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1. Primal-Dual Contextual Bayesian Optimization for Control System Online Optimization with Time-Average Constraints;2023 62nd IEEE Conference on Decision and Control (CDC);2023-12-13

2. Steady-state real-time optimization using transient measurements and approximated Hammerstein dynamic model: A proof of concept in an experimental rig;Journal of Process Control;2023-12

3. No-regret constrained Bayesian optimization of noisy and expensive hybrid models using differentiable quantile function approximations;Journal of Process Control;2023-11

4. CONFIG: Constrained Efficient Global Optimization for Closed-Loop Control System Optimization with Unmodeled Constraints;IFAC-PapersOnLine;2023

5. One-Layer Real-Time Optimization Using Reinforcement Learning: A Review with Guidelines;Processes;2023-01-01

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