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Mehmet Mercangöz
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2020 – today
- 2024
- [j9]Prodromos Daoutidis, Jay H. Lee, Srinivas Rangarajan, Leo Chiang, R. Bhushan Gopaluni, Artur M. Schweidtmann, Iiro Harjunkoski, Mehmet Mercangöz, Ali Mesbah, Fani Boukouvala, Fernando V. Lima, Ehecatl Antonio del Rio-Chanona, Christos Georgakis:
Machine learning in process systems engineering: Challenges and opportunities. Comput. Chem. Eng. 181: 108523 (2024) - [j8]Artan Markaj, Mehmet Mercangöz, Alexander Fay:
Design and implementation of an Autonomous Systems Training Environment framework for control algorithm evaluation in autonomous plant operation. Comput. Chem. Eng. 189: 108798 (2024) - [j7]Tong Liu, Sheng Chen, Po Yang, Yunpeng Zhu, Mehmet Mercangöz, Chris J. Harris:
Lifelong Learning Meets Dynamic Processes: An Emerging Streaming Process Prediction Framework With Delayed Process Output Measurement. IEEE Trans. Control. Syst. Technol. 32(2): 384-398 (2024) - [c17]Liqiu Dong, Marta A. Zagorowska, Tong Liu, Alex Durkin, Mehmet Mercangöz:
PI-CoF: A Bilevel Optimization Framework for Solving Active Learning Problems using Physics-Information. CCTA 2024: 101-106 - [c16]Artan Markaj, Florian Pelzer, Nils Richter, Alexander Fay, Mehmet Mercangöz:
Development and Integration of Operator Behavior Models for the Evaluation of Autonomous Plants. ETFA 2024: 1-8 - [i11]Liqiu Dong, Marta A. Zagorowska, Tong Liu, Alex Durkin, Mehmet Mercangöz:
PI-CoF: A Bilevel Optimization Framework for Solving Active Learning Problems using Physics-Information. CoRR abs/2402.13588 (2024) - [i10]Maximilian Bloor, Akhil Ahmed, Niki Kotecha, Mehmet Mercangöz, Calvin Tsay, Ehecatl Antonio del Rio-Chanona:
Control-Informed Reinforcement Learning for Chemical Processes. CoRR abs/2408.13566 (2024) - [i9]Maximilian Bloor, José Torraca, Ilya Orson Sandoval, Akhil Ahmed, Martha White, Mehmet Mercangöz, Calvin Tsay, Ehecatl Antonio del Rio-Chanona, Max Mowbray:
PC-Gym: Benchmark Environments For Process Control Problems. CoRR abs/2410.22093 (2024) - 2023
- [j6]Akhil Ahmed, Ehecatl Antonio del Rio-Chanona, Mehmet Mercangöz:
Linearizing nonlinear dynamics using deep learning. Comput. Chem. Eng. 170: 108104 (2023) - [c15]Buse Sibel Korkmaz, Tong Liu, Mehmet Mercangöz:
Adaptive Real-Time Exploration and Optimization of Safety-Critical Industrial Systems with Ensemble Learning. INDIN 2023: 1-8 - [c14]William J. Tubbs, Mehmet Mercangöz:
Using Prior Knowledge to Improve Adaptive Real Time Exploration and Optimization. INDIN 2023: 1-8 - [c13]Yilin Zhuang, Zhuobin Zhou, Burak Alakent, Mehmet Mercangöz:
Semi-supervised Variational Autoencoders for Regression: Application to Soft Sensors. INDIN 2023: 1-8 - [i8]Akhil Ahmed, Ehecatl Antonio del Rio-Chanona, Mehmet Mercangöz:
ARRTOC: Adversarially Robust Real-Time Optimization and Control. CoRR abs/2309.04386 (2023) - [i7]Marta A. Zagorowska, Lukas Ortmann, Alisa Rupenyan, Mehmet Mercangöz, Lars Imsland:
Tuning of Online Feedback Optimization for setpoint tracking in centrifugal compressors. CoRR abs/2312.01996 (2023) - 2022
- [j5]Yilin Zhuang, Yixuan Liu, Akhil Ahmed, Zhengang Zhong, Ehecatl Antonio del Rio-Chanona, Colin P. Hale, Mehmet Mercangöz:
A hybrid data-driven and mechanistic model soft sensor for estimating CO2 concentrations for a carbon capture pilot plant. Comput. Ind. 143: 103747 (2022) - [c12]Akhil Ahmed, Marta A. Zagorowska, Ehecatl Antonio del Rio-Chanona, Mehmet Mercangöz:
Application of Gaussian Processes to online approximation of compressor maps for load-sharing in a compressor station. ECC 2022: 205-212 - [c11]Buse Sibel Korkmaz, Mehmet Mercangöz:
Data Driven Modelling of Centrifugal Compressor Maps for Control and Optimization Applications. ECC 2022: 2260-2265 - [i6]Akhil Ahmed, Ehecatl Antonio del Rio-Chanona, Mehmet Mercangöz:
Learning Linear Representations of Nonlinear Dynamics Using Deep Learning. CoRR abs/2204.01064 (2022) - [i5]Buse Sibel Korkmaz, Mehmet Mercangöz, Marta Zagórowska:
Adaptive Real Time Exploration and Optimization for Safety-Critical Systems. CoRR abs/2211.05495 (2022) - [i4]Yilin Zhuang, Zhuobin Zhou, Burak Alakent, Mehmet Mercangöz:
Semi-supervised Variational Autoencoder for Regression: Application on Soft Sensors. CoRR abs/2211.05979 (2022) - [i3]Buse Sibel Korkmaz, Marta Zagórowska, Mehmet Mercangöz:
Safe Optimization of an Industrial Refrigeration Process Using an Adaptive and Explorative Framework. CoRR abs/2211.13019 (2022) - [i2]Marta A. Zagorowska, M. Degner, Lukas Ortmann, Akhil Ahmed, Saverio Bolognani, Ehecatl Antonio del Rio-Chanona, Mehmet Mercangöz:
Online Feedback Optimization of Compressor Stations with Model Adaptation using Gaussian Process Regression. CoRR abs/2212.03604 (2022) - 2021
- [i1]Akhil Ahmed, Marta A. Zagorowska, Ehecatl Antonio del Rio-Chanona, Mehmet Mercangöz:
Application of Gaussian Processes to online approximation of compressor maps for load-sharing in a compressor station. CoRR abs/2111.11890 (2021) - 2020
- [j4]Ioannis Lymperopoulos, Faran A. Qureshi, Altug Bitlislioglu, Jan Poland, Alessandro Zanarini, Mehmet Mercangöz, Colin N. Jones:
Ancillary Services Provision Utilizing a Network of Fast-Charging Stations for Electrical Buses. IEEE Trans. Smart Grid 11(1): 665-672 (2020)
2010 – 2019
- 2019
- [c10]Nicolas Lanzetti, Ying Zhao Lian, Andrea Cortinovis, Luis F. Dominguez, Mehmet Mercangöz, Colin N. Jones:
Recurrent Neural Network based MPC for Process Industries. ECC 2019: 1005-1010 - 2018
- [c9]Predrag Milosavljevic, Andrea Cortinovis, René Schneider, Timm Faulwasser, Mehmet Mercangöz, Dominique Bonvin:
Optimal Load Sharing for Serial Compressors via Modifier Adaptation. ECC 2018: 2306-2311 - 2017
- [j3]Giampaolo Torrisi, Sergio Grammatico, Andrea Cortinovis, Mehmet Mercangöz, Manfred Morari, Roy S. Smith:
Model Predictive Approaches for Active Surge Control in Centrifugal Compressors. IEEE Trans. Control. Syst. Technol. 25(6): 1947-1960 (2017) - [c8]Robin Verschueren, Hans Joachim Ferreau, Alessandro Zanarini, Mehmet Mercangöz, Moritz Diehl:
A stabilizing nonlinear model predictive control scheme for time-optimal point-to-point motions. CDC 2017: 2525-2530 - 2016
- [j2]Andrea Cortinovis, Mehmet Mercangöz, Matteo Zovadelli, Diego Pareschi, Antonio De Marco, Sergio Bittanti:
Online performance tracking and load sharing optimization for parallel operation of gas compressors. Comput. Chem. Eng. 88: 145-156 (2016) - [c7]Predrag Milosavljevic, Andrea Cortinovis, Alejandro G. Marchetti, Timm Faulwasser, Mehmet Mercangöz, Dominique Bonvin:
Optimal load sharing of parallel compressors via modifier adaptation. CCA 2016: 1488-1493 - 2014
- [c6]Andrea Cortinovis, Hans Joachim Ferreau, Daniel Lewandowski, Mehmet Mercangöz:
Safe and efficient operation of centrifugal compressors using linearized MPC. CDC 2014: 3982-3987 - [c5]Marcelo Buffoni, Bernardo Galletti, Hans Joachim Ferreau, Lorenzo Fagiano, Mehmet Mercangöz:
Active pitch control of tethered wings for airborne wind energy. CDC 2014: 4893-4898 - [c4]Andrea Cortinovis, Matteo Zovadelli, Mehmet Mercangöz, Diego Pareschi, Antonio De Marco, Sergio Bittanti:
Online adaptation of performance maps for centrifugal gas compressors. ECC 2014: 1036-1041 - [c3]Luis F. Dominguez, Freerk Klasing, Mehmet Mercangöz:
Modeling and control of a Linear Fresnel Collector system. ECC 2014: 1042-1048 - 2013
- [c2]Francesco Paparella, Luis F. Dominguez, Andrea Cortinovis, Mehmet Mercangöz, Diego Pareschi, Sergio Bittanti:
Load sharing optimization of parallel compressors. ECC 2013: 4059-4064 - 2011
- [c1]Ravi Gondhalekar, Colin N. Jones, Thomas Besselmann, Jean-Hubert Hours, Mehmet Mercangöz:
Constrained spectrum control using MPC. CDC/ECC 2011: 1219-1226
2000 – 2009
- 2008
- [j1]Mehmet Mercangöz, Francis J. Doyle III:
Real-time optimization of the pulp mill benchmark problem. Comput. Chem. Eng. 32(4-5): 789-804 (2008)
Coauthor Index
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