Real-time optimization of the pulp mill benchmark problem. - Mehmet Mercangöz; Francis J. Doyle III (Comput. Chem. Eng., 2008)

Constrained spectrum control using MPC. - Ravi Gondhalekar; Colin N. Jones; Thomas Besselmann; Jean-Hubert Hours; Mehmet Mercangöz (CDC/ECC, 2011)

Load sharing optimization of parallel compressors. - Francesco Paparella; Luis F. Dominguez; Andrea Cortinovis; Mehmet Mercangöz; Diego Pareschi; Sergio Bittanti (ECC, 2013)

Active pitch control of tethered wings for airborne wind energy. - Marcelo Buffoni; Bernardo Galletti; Hans Joachim Ferreau; Lorenzo Fagiano; Mehmet Mercangöz (CDC, 2014)

Safe and efficient operation of centrifugal compressors using linearized MPC. - Andrea Cortinovis; Hans Joachim Ferreau; Daniel Lewandowski; Mehmet Mercangöz (CDC, 2014)

Online adaptation of performance maps for centrifugal gas compressors. - Andrea Cortinovis; Matteo Zovadelli; Mehmet Mercangöz; Diego Pareschi; Antonio De Marco; Sergio Bittanti (ECC, 2014)

Modeling and control of a Linear Fresnel Collector system. - Luis F. Dominguez; Freerk Klasing; Mehmet Mercangöz (ECC, 2014)

Optimal load sharing of parallel compressors via modifier adaptation. - Predrag Milosavljevic; Andrea Cortinovis; Alejandro G. Marchetti; Timm Faulwasser; Mehmet Mercangöz; Dominique Bonvin (CCA, 2016)

Online performance tracking and load sharing optimization for parallel operation of gas compressors. - Andrea Cortinovis; Mehmet Mercangöz; Matteo Zovadelli; Diego Pareschi; Antonio De Marco; Sergio Bittanti (Comput. Chem. Eng., 2016)

A stabilizing nonlinear model predictive control scheme for time-optimal point-to-point motions. - Robin Verschueren; Hans Joachim Ferreau; Alessandro Zanarini; Mehmet Mercangöz; Moritz Diehl (CDC, 2017)

Model Predictive Approaches for Active Surge Control in Centrifugal Compressors. - Giampaolo Torrisi; Sergio Grammatico; Andrea Cortinovis; Mehmet Mercangöz; Manfred Morari; Roy S. Smith (IEEE Trans. Control. Syst. Technol., 2017)

Optimal Load Sharing for Serial Compressors via Modifier Adaptation. - Predrag Milosavljevic; Andrea Cortinovis; René Schneider; Timm Faulwasser; Mehmet Mercangöz; Dominique Bonvin (ECC, 2018)

Recurrent Neural Network based MPC for Process Industries. - Nicolas Lanzetti; Ying Zhao Lian; Andrea Cortinovis; Luis F. Dominguez; Mehmet Mercangöz; Colin N. Jones (ECC, 2019)

Ancillary Services Provision Utilizing a Network of Fast-Charging Stations for Electrical Buses. - Ioannis Lymperopoulos; Faran A. Qureshi; Altug Bitlislioglu; Jan Poland; Alessandro Zanarini; Mehmet Mercangöz; Colin N. Jones (IEEE Trans. Smart Grid, 2020)

Application of Gaussian Processes to online approximation of compressor maps for load-sharing in a compressor station. - Akhil Ahmed; Marta A. Zagorowska; Ehecatl Antonio del Rio-Chanona; Mehmet Mercangöz (ECC, 2022)

Data Driven Modelling of Centrifugal Compressor Maps for Control and Optimization Applications. - Buse Sibel Korkmaz; Mehmet Mercangöz (ECC, 2022)

A hybrid data-driven and mechanistic model soft sensor for estimating CO2 concentrations for a carbon capture pilot plant. - Yilin Zhuang; Yixuan Liu; Akhil Ahmed; Zhengang Zhong; Ehecatl Antonio del Rio-Chanona; Colin P. Hale; Mehmet Mercangöz (Comput. Ind., 2022)

Learning Linear Representations of Nonlinear Dynamics Using Deep Learning. - Akhil Ahmed; Ehecatl Antonio del Rio-Chanona; Mehmet Mercangöz (CoRR, 2022)

Adaptive Real Time Exploration and Optimization for Safety-Critical Systems. - Buse Sibel Korkmaz; Mehmet Mercangöz; Marta Zagórowska (CoRR, 2022)

Semi-supervised Variational Autoencoder for Regression: Application on Soft Sensors. - Yilin Zhuang; Zhuobin Zhou; Burak Alakent; Mehmet Mercangöz (CoRR, 2022)

Safe Optimization of an Industrial Refrigeration Process Using an Adaptive and Explorative Framework. - Buse Sibel Korkmaz; Marta Zagórowska; Mehmet Mercangöz (CoRR, 2022)

Online Feedback Optimization of Compressor Stations with Model Adaptation using Gaussian Process Regression. - Marta A. Zagorowska; M. Degner; Lukas Ortmann; Akhil Ahmed; Saverio Bolognani; Ehecatl Antonio del Rio-Chanona; Mehmet Mercangöz (CoRR, 2022)

Adaptive Real-Time Exploration and Optimization of Safety-Critical Industrial Systems with Ensemble Learning. - Buse Sibel Korkmaz; Tong Liu 014; Mehmet Mercangöz (INDIN, 2023)

Using Prior Knowledge to Improve Adaptive Real Time Exploration and Optimization. - William J. Tubbs; Mehmet Mercangöz (INDIN, 2023)

Semi-supervised Variational Autoencoders for Regression: Application to Soft Sensors. - Yilin Zhuang; Zhuobin Zhou; Burak Alakent; Mehmet Mercangöz (INDIN, 2023)

Tuning of Online Feedback Optimization for setpoint tracking in centrifugal compressors. - Marta A. Zagorowska; Lukas Ortmann; Alisa Rupenyan; Mehmet Mercangöz; Lars Imsland (CoRR, 2023)

Linearizing nonlinear dynamics using deep learning. - Akhil Ahmed; Ehecatl Antonio del Rio-Chanona; Mehmet Mercangöz (Comput. Chem. Eng., 2023)

PI-CoF: A Bilevel Optimization Framework for Solving Active Learning Problems using Physics-Information. - Liqiu Dong; Marta A. Zagorowska; Tong Liu 014; Alex Durkin; Mehmet Mercangöz (CCTA, 2024)

Development and Integration of Operator Behavior Models for the Evaluation of Autonomous Plants. - Artan Markaj; Florian Pelzer; Nils Richter; Alexander Fay; Mehmet Mercangöz (ETFA, 2024)

Design and implementation of an Autonomous Systems Training Environment framework for control algorithm evaluation in autonomous plant operation. - Artan Markaj; Mehmet Mercangöz; Alexander Fay (Comput. Chem. Eng., 2024)

Control-Informed Reinforcement Learning for Chemical Processes. - Maximilian Bloor; Akhil Ahmed; Niki Kotecha; Mehmet Mercangöz; Calvin Tsay; Ehecatl Antonio del Rio-Chanona (CoRR, 2024)

PC-Gym: Benchmark Environments For Process Control Problems. - Maximilian Bloor; José Torraca; Ilya Orson Sandoval; Akhil Ahmed; Martha White; Mehmet Mercangöz; Calvin Tsay; Ehecatl Antonio del Rio-Chanona; Max Mowbray (CoRR, 2024)

Autonomous Industrial Control using an Agentic Framework with Large Language Models. - Javal Vyas; Mehmet Mercangöz (CoRR, 2024)

Machine learning in process systems engineering: Challenges and opportunities. - Prodromos Daoutidis; Jay H. Lee; Srinivas Rangarajan; Leo Chiang; R. Bhushan Gopaluni; Artur M. Schweidtmann; Iiro Harjunkoski; Mehmet Mercangöz; Ali Mesbah 002; Fani Boukouvala; Fernando V. Lima; Ehecatl Antonio del Rio-Chanona; et al. (Comput. Chem. Eng., 2024)

Lifelong Learning Meets Dynamic Processes: An Emerging Streaming Process Prediction Framework With Delayed Process Output Measurement. - Tong Liu 014; Sheng Chen 001; Po Yang 001; Yunpeng Zhu; Mehmet Mercangöz; Chris J. Harris (IEEE Trans. Control. Syst. Technol., 2024)

ARRTOC: Adversarially Robust Real-Time Optimization and Control. - Akhil Ahmed; Ehecatl Antonio del Rio-Chanona; Mehmet Mercangöz (Comput. Chem. Eng., 2025)

From automated to autonomous process operations. - Michael Baldea; Apostolos T. Georgiou; R. Bhushan Gopaluni; Mehmet Mercangöz; Constantinos C. Pantelides; Kiran Sheth; Victor M. Zavala; Christos Georgakis 002 (Comput. Chem. Eng., 2025)

Leveraging LLM Agents and Digital Twins for Fault Handling in Process Plants. - Milapji Singh Gill; Javal Vyas; Artan Markaj; Felix Gehlhoff; Mehmet Mercangöz (CoRR, 2025)

Autonomous Control Leveraging LLMs: An Agentic Framework for Next-Generation Industrial Automation. - Javal Vyas; Mehmet Mercangöz (CoRR, 2025)

Safe Deployment of Offline Reinforcement Learning via Input Convex Action Correction. - Alex Durkin; Jasper Stolte; Matthew Jones; Raghuraman Pitchumani; Bei Li; Christian Michler; Mehmet Mercangöz (CoRR, 2025)