J. Romagnoli

发表

Nonlinear Model Predictive Control of pH Neutralisation Using Wiener Models

S. Norquay, A. Palazoglu, J. Romagnoli, 1996 .

Simultaneous estimation of biases and leaks in process plants

J. Romagnoli, M. Sánchez, Qiyou Jiang, 1999 .

On data reconciliation: Constraints processing and treatment of bias

J. Romagnoli, 1983 .

Wavelet‐based adaptive robust M‐estimator for nonlinear system identification

J. Romagnoli, D. Wang, A. Safavi, 2000 .

Control Studies in an Industrial Apple Juice Evaporator

Jose A. Romagnoli, M. P. Elustondo, Jorge E. Lozano, 1984 .

Investigation of on-line optical particle characterization in reaction and cooling crystallization systems. Current state of the art

J. Romagnoli, Ali Abbas, D. Nobbs, 2002 .

Integrated flexibility and controllability analysis in design of chemical processes

J. A. Bandoni, Jose A. Romagnoli, Parisa A. Bahri, 1997 .

Gap Metric Concept and Implications for Multilinear Model-Based Controller Design

Jose A. Romagnoli, Omar Galán, Yaman Arkun, 2003 .

Data-Driven Estimation of Significant Kinetic Parameters Applied to the Synthesis of Polyolefins

S. D. Salas, Amanda L. T. Brandão, J. Romagnoli, 2019, Processes.

OPTIMAL TUNING OF DISCRETE PID CONTROLLERS USING LYAPUNOV'S DIRECT METHOD ROBUSTNESS ANALYSIS

A. Desages, J. Romagnoli, G. Bortolotto, 1991 .

Data mining and knowledge discovery in chemical processes: Effect of alternative processing techniques

Luis A. Briceno-Mena, J. Romagnoli, Miriam Nnadili, 2022, Data-Centric Engineering.

Development of Shale Gas Supply Chain Network under Market Uncertainties

J. Romagnoli, A. Geraili, J. Chebeir, 2017 .

On-line multi-variable predictive control of molar mass and particle size distributions in free-radical emulsion copolymerization

J. Romagnoli, V. Gomes, B. Alhamad, 2005 .

Online control of molar mass and particle‐size distributions in emulsion polymerization

J. Romagnoli, J. Zeaiter, V. Gomes, 2006 .

Online inferential product attribute estimation for optimal operation of emulsion terpolymerisation: Application to styrene/MMA/MA

J. Romagnoli, V. Gomes, M. Srour, 2007 .

Framework design for weight-average molecular weight control in semi-batch polymerization

S. D. Salas, Terry R. McAfee, J. Romagnoli, 2018, Control Engineering Practice.

Application of Wiener model predictive control (WMPC) to an industrial C2-splitter

S. Norquay, A. Palazoglu, J. Romagnoli, 1999 .

A multi-scale orthogonal nonlinear strategy for multi-variate statistical process monitoring

J. Romagnoli, D. Wang, A. Maulud, 2006 .

On-line fault detection and supervision in the chemical process industries 2001 (CHEMFAS-4) : a proceedings volume from the 4th IFAC Workshop, Jejudo Island, Korea, 7-8 June 2001

George Stephanopoulos, Jose A. Romagnoli, En Sup Yoon, 2001 .

A Study of the Controller Tuning for Stabilizing Nonlinear Feedback Systems based on Generalized Models

A. Palazoglu, J. Romagnoli, T. Khambanonda, 1990, 1990 American Control Conference.

A Study of the Controller Tuning for Stabilizing Nonlinear Feedback Systems based on Generalized Models

A. Palazoglu, J. Romagnoli, T. Khambanonda, 1990 .

Antisolvent crystallization: Model identification, experimental validation and dynamic simulation

Ali Abbas, Jose A. Romagnoli, S. Mostafa Nowee, 2008 .

Model-Based Optimal Strategies for Controlling Particle Size in Antisolvent Crystallization Operations

Ali Abbas, Jose A. Romagnoli, S. Mostafa Nowee, 2008 .

NONLINEAR DATA DRIVEN TECHNIQUES FOR PROCESS MONITORING

J. Romagnoli, G. Robertson, 2014 .

Robust PCA and normal region in multivariate statistical process monitoring

J. A. Bandoni, Jose A. Romagnoli, J. Romagnoli, 1996 .

Data-Derived Analysis and Inference for an Industrial Deethanizer

Jose A. Romagnoli, Francesco Corona, Roberto Baratti, 2012 .

Dynamic polymeric electrodes, dynamic computer modeling and dynamic electrochemical sensing

J. Romagnoli, T. Taguchi, K. Adachi, 1999 .

Data acquisition, signal processing and modelling: a study of a conducting polypyrrole formate biosensor Part 1: Batch experiment

Jose A. Romagnoli, Z. Boger, S. B. Adeloju, 1996 .

A PROCEDURE FOR ON LINE LEARNING AND IMPROVEMNET OF WAVELET BASED NEURAL NETWORKS

J. Romagnoli, A. Safavi, H. Gunes, 1999 .

Selective Oxidation of Ethylene in an Industrial Packed-Bed Reactor: Modelling, Analysis and Optimization

Jose A. Romagnoli, Vincent G. Gomes, Omar Galán, 2009 .

Wavelet-based robust filtering of process data

Ahmet Palazoglu, Jose A. Romagnoli, Amid Bakhtazad, 2001 .

Modeling/Simulation of the Dividing Wall Column by Using the Rigorous Model

J. Romagnoli, Wei Sun, C. Zhai, 2019, Processes.

Multi-resolution fuzzy clustering approach for image-based particle characterization for particle systems

Ali Abbas, Jose A. Romagnoli, J. Romagnoli, 2011 .

A model-based approach for controlling particle size distribution in combined cooling-antisolvent crystallization processes

Jose A. Romagnoli, Roberto Baratti, Stefania Tronci, 2018, Chemical Engineering Science.

Optimization in seeded cooling crystallization: A parameter estimation and dynamic optimization study

Ali Abbas, Jose A. Romagnoli, S. Mostafa Nowee, 2007 .

EFFECT OF THE SOLUBILITY MODEL ON ANTISOLVENT CRYSTALLIZATION PREDICTED VOLUME MEAN SIZE

J. Romagnoli, Ali Abbas, D. Widenski, 2009 .

Experimental Verification of Gap Metric as a Tool for Model Selection in Multi-Linear Model-Based Control

Y. Arkun, A. Palazoglu, J. Romagnoli, 2004 .

Use of gap metric for model selection in multi-model based control design: An experimental case study of pH control

Y. Arkun, A. Palazoglu, J. Romagnoli, 2000 .

On the use of gap metric for model selection in multilinear model-based control

Y. Arkun, A. Palazoglu, Y. Arkun, 2000, Proceedings of the 2000 American Control Conference. ACC (IEEE Cat. No.00CH36334).

Stochastic approach for the calculation of anti-solvent addition policies in crystallization operations: An application to a bench-scale semi-batch crystallizer

J. Romagnoli, O. Galan, M. Grosso, 2010 .

Cluster analysis for autocorrelated and cyclic chemical process data

A. Palazoglu, J. Romagnoli, S. Beaver, 2007 .

Control of particle size distribution in emulsionco-polymerization processes

J. Romagnoli, A. Maulud, 2007 .

Time evolution of the PSD in crystallization operations: An analytical solution based on Ornstein‐Uhlenbeck process

J. Romagnoli, M. Grosso, R. Baratti, 2012 .

A generalized stochastic modelling approach for crystal size distribution in antisolvent crystallization operations

J. Romagnoli, S. Tronci, R. Baratti, 2017 .

Modeling of Crystallization Processes

J. Romagnoli, Ali Abbas, D. Widenski, 2011 .

A Stochastic Formulation for the Prediction of PSD in Crystallization Processes: Comparative Assessment of Alternative Model Formulations

J. Romagnoli, M. Grosso, R. Baratti, 2010 .

Mathematical programming with linear uncertain constraints : application to robust control

Alfredo C. Desages, J. A. Bandoni, Jose A. Romagnoli, 1990 .

Measurement Bias Detection, Identification and Elimination for Multi-Zone Thermal Processing in Semiconductor Manufacturing

K. Ling, J. Romagnoli, W. Ho, 2007, IECON 2007 - 33rd Annual Conference of the IEEE Industrial Electronics Society.

Process identification, uncertainty characterisation and robustness analysis of a pilot-scale distillation column

J. A. Romagnoli, Jose Luis Figueroa, Ali Nooraii, 1999 .

COMPARISON OF THE USE OF DIFFERENT SOLUBILITY MODELS FOR THE COOLING CRYSTALLIZATION OF ACETAMINOPHEN

J. Romagnoli, Ali Abbas, D. Widenski, 2008 .

Towards Real Time Ion Classification Using a Machine Learning Algorithm (C 4.5) : A Case Study of a Conducting Polymer Ion Detector

J. Romagnoli, A. Talaie, 2005 .

Multi-resolution Fuzzy Clustering Approach for Image-Based Particle Characterization

J. Romagnoli, Ali Abbas, R. Mukherjee, 2010 .

A machine learning approach to optimize shale gas supply chain networks

Jose A. Romagnoli, Hope Asala, Jorge Chebeir, 2017 .

Integrating On-Line and Off-Line Fault Detection for Process Safety

Jose A. Romagnoli, J. Cao, H. M. Tweeddale, 1998 .

Optimization of Renewable Energy Businesses under Operational Level Uncertainties through Extensive Sensitivity Analysis and Stochastic Global Optimization

S. D. Salas, J. Romagnoli, A. Geraili, 2017 .

Optimization of the Particle Size in Emulsion Polymerization

J. Romagnoli, J. Zeaiter, 2014 .

Wavelet analysis of images from scanning probe and electron microscopy

A. Palazoglu, J. Romagnoli, P. Stroeve, 2011 .

Separating touching and overlapping objects in particle images – A combined approach

J. Romagnoli, Ali Abbas, J. M. Korath, 2007 .

Basic Elements of Feedback Control

Jose A. Romagnoli, Ahmet Palazoglu, A. Palazoglu, 2020 .

Dynamics and Control of Process Systems MODEL-BASED FRAMEWORK FOR TERNARY ALLOY ELECTRODEPOSITION PROCESSES : MODEL VALIDATIONS AND PARAMETER ESTIMATION

J. Romagnoli, E. Podlaha, M. Estrada, 2007 .

Image-based multi-resolution-ANN approach for on-line particle size characterization

Jose A. Romagnoli, Roberto Baratti, Stefania Tronci, 2013 .

Stochastic Approach for the Prediction of PSD in Crystallization Processes: Formulation and Comparative Assessment of Different Stochastic Models

J. Romagnoli, M. Grosso, R. Baratti, 2011 .

Optimization of multi-mode classification for process monitoring

J. Romagnoli, Z. Webb, M. Nnadili, 2022, Frontiers in Chemical Engineering.

The Application of Reservoir Simulation to the Optimization of Shale Gas Supply Chain Design and its Water Management Structure

J. Romagnoli, A. D. Taleghani, H. Asala, 2017 .

Application of higher order bifurcation formulas

A. Desages, J. Romagnoli, M. Colantoni, 1991 .

A Strategy for Feature Extraction and Classification with its Application to Process Supervision #

J. Romagnoli, B. Bhushan, 2006 .

A Stochastic Approach for Anti-Solvent Addition Policy in Crystallization Operations: An Application to a Bench-Scale Fed-Batch Crystallizer

J. Romagnoli, O. Galan, M. Grosso, 2009 .

Electrochemical Pumping for Challenging Hydrogen Separations

J. Romagnoli, J. Flake, C. Arges, 2022, ACS Energy Letters.

Steady-state back-off calculation: Use of piecewise lineal approximation

A. Desages, J. Romagnoli, J. Figueroa, 1996 .

Analysis of shear-induced coagulation in an emulsion polymerisation reactor using computational fluid dynamics

J. Romagnoli, D. Fletcher, V. Gomes, 2005 .

Dynamic sensing using intelligent composite: an investigation to development of new pH sensors and electrochromic devices

Jin Jang, J. Romagnoli, T. Taguchi, 2000 .

Robust MPC design based on a generalized objective function

J. Romagnoli, J. Kavanagh, David K. Wang, 2001 .

Deep learning for pyrolysis reactor monitoring: From thermal imaging toward smart monitoring system

Jose A. Romagnoli, Yan Ma, Y. Zhan, 2018, AIChE Journal.

An integrated artificial neural network/polymer-based pH sensor : a new engineering perspective to conducting polymer technology

J. Romagnoli, A. Talaie, 1996 .

Framework for Integrated Model-Centric Process Support

J. Romagnoli, D. Aragón, P. Rolandi, 2011 .

Linearized dynamic model of an industrial low density polyethylene plant

E. A. Brignole, J. Romagnoli, S. Tonelli, 1993 .

Economic impact of disturbances and uncertain parameters in chemical processes—A dynamic back-off analysis

J. A. Bandoni, Parisa A. Bahri, Jose A. Romagnoli, 1996 .

Operability assessment in chemical plants

Parisa A. Bahri, Jose A. Romagnoli, J. Alberto Bandoni, 1996 .

On the topological modeling and analysis of industrial process data using the SOM

José A. Romagnoli, Francesco Corona, Roberto Baratti, 2010, Comput. Chem. Eng..

On the Topological Analysis of Industrial Process Data Using the SOM

Jose A. Romagnoli, Francesco Corona, Roberto Baratti, 2009 .

Data derived analysis and inference for an industrial deethanizer

Jose A. Romagnoli, Francesco Corona, Roberto Baratti, 2009 .

Wavelet-based nonlinear multivariate statistical process control

Jose A. Romagnoli, Dawei Wang, J. Romagnoli, 2005 .

Rectification of process measurement data in the presence of gross errors

George Stephanopoulos, Jose A. Romagnoli, G. Stephanopoulos, 1981 .

STEADY AND NON-STEADY STATE MODELING OF TUBULAR FIXED BED REACTORS

J. Romagnoli, A. Errazu, J. Gatica, 1989 .

Use of Predictive Solubility Models for Isothermal Antisolvent Crystallization Modeling and Optimization

J. Romagnoli, Ali Abbas, D. Widenski, 2011 .

Operation of semi-batch emulsion polymerisation reactors: Modelling, validation and effect of operating conditions

Jose A. Romagnoli, Vincent G. Gomes, Geoffrey W. Barton, 2002 .

Comparison of different solubility equations for modeling in cooling crystallization

Ali Abbas, Jose A. Romagnoli, David J. Widenski, 2010 .

Machine learning for guiding high-temperature PEM fuel cells with greater power density

J. Romagnoli, C. Arges, Gokul Venugopalan, 2020, Patterns.

An Integrated Machine-Learning Approach to Shale-Gas Supply-Chain Optimization and Refrac Candidate Identification

Jose A. Romagnoli, Hope Asala, Jorge Chebeir, 2019, SPE Reservoir Evaluation & Engineering.

Rapid, large-scale generation of highly pure cytomegalovirus-specific cytotoxic T cells for adoptive immunotherapy.

J. Romagnoli, M. Marangolo, A. Foster, 2003, Journal of hematotherapy & stem cell research.

Large‐scale expansion of cytomegalovirus‐specific cytotoxic T cells in suspension culture

J. Romagnoli, A. Foster, Aaron E Foster, 2004, Biotechnology and bioengineering.

A Decision Support Tool for Optimal Design of Integrated Biorefineries under Strategic and Operational Level Uncertainties

Jose A. Romagnoli, S. D. Salas, A. Geraili, 2016 .

A Multiobjective Optimization Framework for Design of Integrated Biorefineries Under Uncertainty

Jose A. Romagnoli, A. Geraili, J. Romagnoli, 2015 .

Robust H∞ control of nonlinear plants based on multi-linear models : an application to a bench-scale pH neutralization reactor

Jose A. Romagnoli, Ahmet Palazoglu, Omar Galán, 2000 .

Modeling and Multiresolution Characterization for Microfabrication Applications

A. Palazoglu, J. Romagnoli, R. Mukherjee, 2010 .

Process trend analysis using wavelet-based de-noising

Jose A. Romagnoli, Ahmet Palazoglu, Amid Bakhtazad, 1998 .

Real-time implementation of multi-linear model-based control strategies––an application to a bench-scale pH neutralization reactor

Jose A. Romagnoli, Ahmet Palazoglu, Omar Galán, 2004 .

Model Predictive Control

Jose A. Romagnoli, Ahmet Palazoglu, A. Palazoglu, 2020, Introduction to Process Control.

A Performance Study of a Novel Dynamic Real-Time Optimisation Engine Applied to an Industrial Continuous Pulping System

Jose A. Romagnoli, P. A. Rolandi, J. Romagnoli, 2010 .

A Performance Study of Dynamic RTO Applied to a Large-Scale Industrial Continuous Pulping Process

Jose A. Romagnoli, P. A. Rolandi, J. Romagnoli, 2009 .

Application of Wiener model predictive control (WMPC) to a pH neutralization experiment

José A. Romagnoli, Ahmet Palazoglu, Sandra J. Norquay, 1999, IEEE Trans. Control. Syst. Technol..

Thermodynamic tuning in separation process simulation and design

Jose A. Romagnoli, Esteban A. Brignole, J. Romagnoli, 1991 .

Effect of the Chaotropic Nature of Supporting Electrolytes on the Electrochemical Properties of Conducting Polymers: A Study Using an In-Situ/Real Time Technique

J. Romagnoli, T. Taguchi, K. Adachi, 1998 .

Knowledge Discovery in Conducting Polymeric Composite Devices: AN Essential Research Towards New Computer/Sensing Information Devices

J. Romagnoli, T. Taguchi, A. Talaie, 1998 .

Advanced modelling and optimal operating strategy in emulsion copolymerization: Application to styrene/MMA system

Vincent G. Gomes, B. Alhamad, J. A. Romagnoli, 2005 .

Modelling and Optimisation of an Industrial Ethylene Oxide Reactor

Jose A. Romagnoli, Vincent G. Gomes, Kian F. Ngian, 2009 .

A new application of soft-computing theory to conducting polymer sensors: a pH estimation study

Jose A. Romagnoli, Ali Reza Mirhosseini, A. Talaie, 1998 .

Polymer surfaces, interfaces, and computer modeling: an investigation of smart conducting polymer sensors

Jose A. Romagnoli, Takahisa Taguchi, Kimihiro Adachi, 1997, Smart Materials, Nano-, and Micro- Smart Systems.

Catastrophe and Bifurcation Theories in Chemically Reacting Systems: Frequency Domain Analysis

A. Desages, J. Romagnoli, J. L. Moiola, 1989 .

A qualitative comparison between population balances and stochastic models for non-isothermal antisolvent crystallization processes

Jose A. Romagnoli, David J. Widenski, Roberto Baratti, 2014, Comput. Chem. Eng..

Learning to navigate a crystallization model with Deep Reinforcement Learning

J. Romagnoli, R. Baratti, V. Manee, 2021, Chemical Engineering Research and Design.

Data mining and clustering in chemical process databases for monitoring and knowledge discovery

Jose A. Romagnoli, Michael C. Thomas, Wenbo Zhu, 2017, Journal of Process Control.

PCA-SDG Based Process Monitoring and Fault Diagnosis: Application to an Industrial Pyrolysis Furnace

Wei Sun, Hui Li, Jose A. Romagnoli, 2018 .

Topological preservation techniques for nonlinear process monitoring

José A. Romagnoli, G. Robertson, M. C. Thomas, 2015, Comput. Chem. Eng..

BATCH/SEMI-BATCH PROCESS FAULT DETECTION AND DIAGNOSIS USING ORTHOGONAL NONLINEAR MULTI-WAY PCA: Application to an emulsion co-polymerization process

Jose A. Romagnoli, A. Maulud, J. Romagnoli, 2006 .

Introduction to Process Control

Ahmet Palazoglu, Jose A. Romagnoli, A. Palazoglu, 2005 .

A JOINT EXPERIMENTAL DESIGN PROCEDURE FOR PARAMETER ESTIMATION

Jose A. Romagnoli, Jorge E. Gatica, José A. Porras, 1987 .

Multiscale modeling, simulation and validation of batch cooling crystallization

Ali Abbas, Jose A. Romagnoli, J. Romagnoli, 2007 .

Computer package for transient analysis of industrial multiple-effect evaporators

S. M. Tonelli, JoséA. Romagnoli, J. A. Porras, 1990 .

On-line optimal trajectory control for a fermentation process using multi-linear models

Jose A. Romagnoli, Omar Galán, F. Azimzadeh, 2001 .

On-line optimization control for a time-varying process using multiple models: A laboratory scale fermenter application

Jose A. Romagnoli, Omar Galán, John P. Barford, 1999 .

Modular Framework for Simulation-Based Multi-objective Optimization of a Cryogenic Air Separation Unit

S. D. Salas, J. Romagnoli, Dany De Cecchis, 2022, ACS omega.

Effect of the demethanizer improved control strategy on the separation train for the NGL separation process

J. Romagnoli, J. Chebeir, S. Tronci, 2022, IFAC-PapersOnLine.

On the rectification of measurement errors for complex chemical plants: Steady state analysis

George Stephanopoulos, Jose A. Romagnoli, G. Stephanopoulos, 1980 .

Robust multi-scale principal components analysis with applications to process monitoring

Jose A. Romagnoli, D. Wang, J. Romagnoli, 2005 .

Generalized T distribution and its applications to process data reconciliation and process monitoring

Jose A. Romagnoli, D. Wang, J. Romagnoli, 2005 .

Technology analysis of integrated biorefineries through process simulation and hybrid optimization

Jose A. Romagnoli, P. Sharma, A. Geraili, 2014 .

Options analysis for long-term capacity design and operation of a lignocellulosic biomass refinery

Jose A. Romagnoli, P. Sharma, R. Vlosky, 2013, Comput. Chem. Eng..

A Deep Learning Approach on Industrial Pyrolysis Reactor Monitoring

Wenbo Zhu, Yibin Zhan, Jose A. Romagnoli, 2019 .

Adaptive k-Nearest-Neighbor Method for Process Monitoring

Jose A. Romagnoli, Wei Sun, Wenbo Zhu, 2018 .

Process synthesis and optimisation tools for environmental design: methodology and structure

Jim Petrie, Jose A. Romagnoli, Brett Alexander, 2000 .

Online model-based control of an emulsion terpolymerisation process

Vincent G. Gomes, J. A. Romagnoli, Ibrahem S. Altarawneh, 2009 .

Robust control of a SAG mill

Jose A. Romagnoli, Omar Galán, Geoffrey W. Barton, 2002 .

The real-time multiple operational condition monitoring of ethylene cracking furnace based on the principal component analysis

J. Romagnoli, S. Tian, Y. Zhan, 2017 .

A decision support tool for strategic planning of sustainable biorefineries

José A. Romagnoli, P. Sharma, B. R. Sarker, 2011, Comput. Chem. Eng..

A strategy for simultaneous dynamic data reconciliation and outlier detection

Jose A. Romagnoli, J. Chen, J. Romagnoli, 1998 .

A Fault Detection and Diagnosis Strategy for Batch/Semi-Batch Processes

J. Romagnoli, A. Maulud, 2010 .

Reinforcement Learning-Based Fed-Batch Optimization with Reaction Surrogate Model

José A. Romagnoli, Rahul Bindlish, Leo H. Chiang, 2021, 2021 American Control Conference (ACC).

PEMNET: A Transfer Learning-based Modeling Approach of High-Temperature Polymer Electrolyte Membrane Electrochemical Systems pdf

Jose A. Romagnoli, Luis A. Briceno-Mena, Christopher G. Arges, 2021, Industrial & Engineering Chemistry Research.

Wavelet‐based density estimation and application to process monitoring

Jose A. Romagnoli, Ali Akbar Safavi, J. Romagnoli, 1997 .

Determining Ion Activity Coefficients in Ion-Exchange Membranes with Machine Learning and Molecular Dynamics Simulations

J. Romagnoli, Teslim Olayiwola, Revati Kumar, 2023, Industrial & Engineering Chemistry Research.

Sequencing diurnal air flow patterns for ozone exposure assessment around Houston, Texas

Ahmet Palazoglu, Jose A. Romagnoli, Scott Beaver, 2009 .

Development of Models from Fundamental Laws

Jose A. Romagnoli, Ahmet Palazoglu, A. Palazoglu, 2020 .

MODEL-BASED FRAMEWORK FOR TERNARY ALLOY ELECTRODEPOSITION PROCESSES: MODEL VALIDATIONS AND PARAMETER ESTIMATION

Jose A. Romagnoli, M. E. Estrada, E. J. Podlaha, 2007 .

Data driven techno-economic framework for the development of shale gas resources

Jose A. Romagnoli, Hope Asala, Jorge Chebeir, 2019 .

Inferential conversion monitoring and control in emulsion polymerisation through calorimetric measurements

Jose A. Romagnoli, Vincent G. Gomes, Geoffrey W. Barton, 2002 .

Antisolventcrystallization:Modelidentification,experimentalvalidationanddynamic simulation

Ali Abbas, Jose A. Romagnoli, S. Mostafa Nowee, 2008 .

OPTIMAL STRATEGIES FOR CONTROLLING PARTICLE SIZE IN ANTISOLVENT CRYSTALLIZATION OPERATIONS

J. Romagnoli, Ali Abbas, S. M. Nowee, 2007 .

Development of Shale Gas Supply Chain Network under Market Uncertainties

Jose A. Romagnoli, Jorge Chebeir, A. Geraili, 2017 .

Strategic value optimization and analysis of multi-product biomass refineries with multiple stakeholder considerations

José A. Romagnoli, P. Sharma, R. Vlosky, 2013, Comput. Chem. Eng..

A model-based nucleation study of the combined effect of seed properties and cooling rate in cooling crystallization

Ali Abbas, David J. Widenski, José A. Romagnoli, 2011, Comput. Chem. Eng..

A Theoretical Nucleation Study of the Combined Effect of Seeding and Temperature Profile in Cooling Crystallization

J. Romagnoli, Ali Abbas, D. Widenski, 2009 .

Curriculum Intensification Through Integration of Units of Study in the Chemical Engineering Degree Programme

Ali Abbas, Jose A. Romagnoli, J. Romagnoli, 2007 .

Chapter B4 – Process design and operation: Incorporating environmental, profitability, heat integration and controllability considerations

Jose A. Romagnoli, Hasan Y. Alhammadi, J. Romagnoli, 2004 .

Operation optimization of a cryogenic NGL recovery unit using deep learning based surrogate modeling

Jose A. Romagnoli, Wenbo Zhu, Jorge Chebeir, 2020, Comput. Chem. Eng..

A hybrid model formulation for a distillation column and the on-line optimisation study

Jose A. Romagnoli, Ali Akbar Safavi, A. Nooraii, 1999 .

Investigation of transfer learning for image classification and impact on training sample size

Wenbo Zhu, Jose A. Romagnoli, Leo H. Chiang, 2021 .

Smart enterprise for pulp and paper: Digester modeling and validation

Jose A. Romagnoli, P. A. Rolandi, J. Romagnoli, 2003 .

Web-Based Courseware in Teaching Laboratory-Based Courses

Jose A. Romagnoli, Vincent G. Gomes, Geoffrey W. Barton, 2000 .

A modelling environment for the advanced operation of crystallisation processes

Ali Abbas, Jose A. Romagnoli, J. Romagnoli, 2003 .

Deep Learning Based Soft Sensor and Its Application on a Pyrolysis Reactor for Compositions Predictions of Gas Phase Components

Jose A. Romagnoli, Wenbo Zhu, Yan Ma, 2018 .

Monitoring crystal growth based on image texture analysis using wavelet transformation

Ali Abbas, Jose A. Romagnoli, Bing Zhang, 2012 .

Improved Operation of an Industrial Distillation Column Through Advanced control

Jose A. Romagnoli, R. Di Mascio, Geoffrey W. Barton, 1993 .

Multivariable Controller Design in Frequency Domain

J. A. Romagnoli, O. E. Agamennoni, A. Desages, 1985, 1985 American Control Conference.

Robust controller design methodology for multivariable chemical processes

Alfredo C. Desages, Jose A. Romagnoli, O. E. Agamennoni, 1988 .

Robust multivariable controller design methodology: stability and performance requirements

Alfredo C. Desages, Jose A. Romagnoli, O. E. Agamennoni, 1991 .

Machine-learning-based simulation and fed-batch control of cyanobacterial-phycocyanin production in Plectonema by artificial neural network and deep reinforcement learning

Jose A. Romagnoli, Yan Ma, Michael G. Benton, 2020, Comput. Chem. Eng..

Many-Objective Simulation-Based Optimization of an Air Separation Unit

S. D. Salas, Dany De Cecchis, J. Romagnoli, 2021, IFAC-PapersOnLine.

Variable measurement structures for process control

George Stephanopoulos, Jose A. Romagnoli, Jesus Alvarez, 1981 .

A Deep Learning Approach for Process Data Visualization Using t-Distributed Stochastic Neighbor Embedding

Jose A. Romagnoli, Wenbo Zhu, Zachary T Webb, 2019, Industrial & Engineering Chemistry Research.

RELAY AUTOTUNING OF MULTIVARIABLE SYSTEMS: APPLICATION TO AN EXPERIMENTAL PILOT-SCALE DISTILLATION COLUMN

G. Marchetti, J. A. Romagnoli, C. Scabi, 2002 .

Model predictive control based on Wiener models

Ahmet Palazoglu, J. A. Romagnoli, S. J. Norquay, 1998 .

Continuous control of a polymerization system with deep reinforcement learning

Jose A. Romagnoli, Yan Ma, Michael G. Benton, 2019, Journal of Process Control.

Chapter 6.4 - Fault Diagnosis Methodologies for Process Operation

J. A. Romagnoli, D. Leung, J. Romagnoli, 2002 .

Dynamic Performance

A. Palazoglu, J. Romagnoli, 2020, Introduction to Process Control.

A modeling framework for design of nonlinear renewable energy systems through integrated simulation modeling and metaheuristic optimization: Applications to biorefineries

José A. Romagnoli, P. Sharma, A. Geraili, 2014, Comput. Chem. Eng..

Control of A Polyol Process Using Reinforcement Learning

Leo H. Chiang, Ricardo R. Rendall, J. Romagnoli, 2021, IFAC-PapersOnLine.

Bifurcations and degeneracies in a CSTR with reactions A→B→C: frequency domain analysis

Jose A. Romagnoli, Alfredo Desages, Jorge L. Moiola, 1990 .

Bifurcations in chemical reactors via feedback system theory

A. Desages, J. Romagnoli, J. Moiola, 1990 .

Generic Process Visualization Using Parametric t-SNE

Wei Sun, Jose A. Romagnoli, Wenbo Zhu, 2018 .

Real-Time Chemical Process Monitoring with UMAP

Zachary webb, José Romagnoli, J. Romagnoli, 2021, 31st European Symposium on Computer Aided Process Engineering.

Application of wavelet-based neural networks to the modelling and optimisation of an experimental distillation column

Jose A. Romagnoli, Ali Akbar Safavi, J. Romagnoli, 1997 .

Application of wave-nets to modelling and optimisation of a multidimensional chemical process

Jose A. Romagnoli, Ali Akbar Safavi, J. Romagnoli, 1995, Proceedings of ICNN'95 - International Conference on Neural Networks.

Comprehensive Investment Framework for Optimal Exploitation of Liquid-Rich Unconventional Reservoirs and Natural Gas Distribution

Jose A. Romagnoli, Hope Asala, Jorge Chebeir, 2018 .

Back-off calculations in optimising control: A dynamic approach

Parisa A. Bahri, Jose A. Romagnoli, J. Romagnoli, 1995 .

An active specification switching strategy that aids in solving nonlinear sets and improves a VNS/TA hybrid optimization methodology

José A. Romagnoli, G. Robertson, A. Geraili, 2014, Comput. Chem. Eng..

Effect of disturbances in optimizing control: Steady‐state open‐loop backoff problem

J. A. Bandoni, Parisa A. Bahri, Jose A. Romagnoli, 1996 .

Operability considerations in chemical processes: A switchability analysis

Parisa A. Bahri, Jose A. Romagnoli, T.T.L. Vu, 1997 .

Data Reconciliation - an Industrial Case Study

Jose A. Romagnoli, A. Bandoni, G. H. Weiss, 1993 .

A framework for on-line full optimising control of chemical processes

Jose A. Romagnoli, P. A. Rolandi, J. Romagnoli, 2005 .

The Application of Compositional Modelling to the Integration of Realistic Re-stimulation Strategies and Unconventional Shale Gas Supply Chain Optimization

Jose A. Romagnoli, Hope Asala, Jorge Chebeir, 2017 .

An intelligent sensor network for distributed data rectification and process monitoring

K.V. Ling, K. V. Ling, Y.Y. Joe, 2005, INDIN '05. 2005 3rd IEEE International Conference on Industrial Informatics, 2005..

A Framework for Robust Data Reconciliation Based on a Generalized Objective Function

J. A. Romagnoli, D. Wang, J. Romagnoli, 2003 .

Robust Data Reconciliation Based on A Generalized Objective Function

Jose A. Romagnoli, J. Romagnoli, David K. Wang, 2002 .

Short-term Planning Model for Petroleum Refinery Production: Using Model Predictive Control

Jose A. Romagnoli, Ahmet Palazoglu, Uğur YüUzgeç, 2010 .

Process data de-noising using wavelet transform

José A. Romagnoli, Ahmet Palazoglu, Amid Bakhtazad, 1999, Intell. Data Anal..

Robust estimation of measurement error variance/covariance from process sampling data

Jose A. Romagnoli, A. Bandoni, J. Chen, 1997 .

Robust statistical process monitoring

Jose A. Romagnoli, A. Bandoni, J. Chen, 1996 .