Hector M. Budman

Comput. Chem. Eng., September, 2023

2022

Online estimation using dynamic flux balance model and multiparametric programming.

[BibT_eX]

[DOI]

Xin Shen

Comput. Chem. Eng., 2022

A novel unsupervised approach for batch process monitoring using deep learning.

[BibT_eX]

[DOI]

Comput. Chem. Eng., 2022

2021

Explainability: Relevance based dynamic deep learning algorithm for fault detection and diagnosis in chemical processes.

[BibT_eX]

[DOI]

Piyush Agarwal

Melih Tamer

Jorge Ivan Mireles Gonzalez

Comput. Chem. Eng., 2021

2020

Hierarchical Deep Recurrent Neural Network based Method for Fault Detection and Diagnosis.

[BibT_eX]

[DOI]

Piyush Agarwal

Ali Elkamel

CoRR, 2020

Robust estimation and economic predictive control for dynamic metabolic flux systems under probabilistic uncertainty.

[BibT_eX]

[DOI]

Honghao Zheng

Comput. Chem. Eng., 2020

A method for tackling primal multiplicity of solutions of dynamic flux balance models.

[BibT_eX]

[DOI]

Xin Shen

Comput. Chem. Eng., 2020

2018

Simultaneous identification and optimization of biochemical processes under model-plant mismatch using output uncertainty bounds.

[BibT_eX]

[DOI]

Rubin Hille

Tanyakarn Treeratanaphitak

Comput. Chem. Eng., 2018

On the use of physical boundary conditions for two-phase flow simulations: Integration of control feedback.

[BibT_eX]

[DOI]

Mehrez Agnaou

Amir Mowla

Marios Ioannidis

Nasser Mohieddin Abukhdeir

Comput. Chem. Eng., 2018

2017

Comparison of stochastic fault detection and classification algorithms for nonlinear chemical processes.

[BibT_eX]

[DOI]

Yuncheng Du

Comput. Chem. Eng., 2017

2016

Economic model predictive control of chemical processes with parameter uncertainty.

[BibT_eX]

[DOI]

Omar Santander

Ali Elkamel

Comput. Chem. Eng., 2016

Robust-distributed MPC tolerant to communication loss.

[BibT_eX]

[DOI]

Divya Kumar

Walid Al-Gherwi

Comput. Chem. Eng., 2016

2015

Fault detection and diagnosis with parametric uncertainty using generalized polynomial chaos.

[BibT_eX]

[DOI]

Yuncheng Du

Comput. Chem. Eng., 2015

2014

An MPC-based control structure selection approach for simultaneous process and control design.

[BibT_eX]

[DOI]

Gloria Gutiérrez

César de Prada

Comput. Chem. Eng., 2014

2013

A robust distributed model predictive control based on a dual-mode approach.

[BibT_eX]

[DOI]

Walid Al-Gherwi

Ali Elkamel

Comput. Chem. Eng., 2013

2011

Finding a trade-off between observability and economics in the fault detection of chemical processes.

[BibT_eX]

[DOI]

M. Bin Shams

Comput. Chem. Eng., 2011

A methodology for the simultaneous design and control of large-scale systems under process parameter uncertainty.

[BibT_eX]

[DOI]

Comput. Chem. Eng., 2011

2009

Tuning an adaptive controller using a robust control approach.

[BibT_eX]

[DOI]

Jesse Huebsch

Int. J. Control, 2009

Integration of design and control for chemical processes: A review of the literature and some recent results.

[BibT_eX]

[DOI]

Annu. Rev. Control., 2009

2005

The integration of design and control: IMC control and robustness.

[BibT_eX]

[DOI]

N. Chawankul

Comput. Chem. Eng., 2005

Integration of Design and Control: A Robust Control Approach Using MPC.

[BibT_eX]

[DOI]

N. Chawankul

Proceedings of the 44th IEEE IEEE Conference on Decision and Control and 8th European Control Conference Control, 2005

2004

On-line adaptive parameter estimator tuning.

[BibT_eX]

[DOI]

Michael Shagalov

Comput. Chem. Eng., 2004

Optimal experimental design for training of a fault diagnosis algorithm.

[BibT_eX]

[DOI]

S. J. Lou

Comput. Chem. Eng., 2004

2002

Online adaptive parameter estimator design and tuning.

[BibT_eX]

[DOI]

Michael Shagalov

Proceedings of the American Control Conference, 2002

Comparison of fault detection techniques: problem and solution.

[BibT_eX]

[DOI]

S. J. Lou