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Publication Date	Title	Author(s)
2025	ADAPTIVE TUNING OF MODEL PREDICTIVE CONTROL PARAMETERS VIA REINFORCEMENT LEARNING	Zhang, Susu
2018	ADVANCES IN MODEL PREDICTIVE CONTROL	Kheradmandi, Masoud
2022	Application of Data-Driven Modeling Techniques to Wastewater Treatment Processes	Hermonat, Emma
2025	An Automation Framework for Chromatography in Integrated Continuous Biomanufacturing	Gough, Ian
2024	Bayesian inference in parameter estimation of bioprocesses	Mathias, Nigel
2020	Ceramic membrane nanofiltration for industrial wastewater treatment – a comparison with conventional polymer membranes & data-driven modeling of organic compounds removal	Agnihotri, Satyam
2020	CLOSED-LOOP DYNAMIC REAL-TIME OPTIMIZATION WITH STABILIZING MODEL PREDICTIVE CONTROL	Sundaresan Ramesh, Praveen
2018	Data-Driven Modeling and Control of Batch and Batch-Like Processes	Garg, Abhinav
Nov-2022	Data-Driven Modeling and Model Predictive Control of Monoclonal Antibody Process	Sarna, Samardeepsingh
2014	DATA-DRIVEN MODELING FOR QUALITY CONTROL IN CHEMICAL PROCESSES	Chen, Kuilin
2024	Data-Driven Modelling and Control of Batch Processes	Chandrasekar, Aswin
-	THE DESIGN OF A NOVEL LYAPUNOV-BASED OFFSET-FREE MODEL PREDICTIVE CONTROLLER	Das, Buddhadeva
2011	Energy Efficient Model Predictive Building Temperature Control	Wallace, Matt
2018	Fault Daignosis and Fault Tolerant Control of Complex Process Systems	Shahnazari, Hadi
Oct-2012	FAULT DIAGNOSIS AND FAULT-TOLERANT CONTROL OF CHEMICAL PROCESS SYSTEMS	Du, Miao
Apr-2013	Global Optimization of Dynamic Process Systems using Complete Search Methods	Sahlodin, Ali Mohammad
2024	HYBRID AND DATA DRIVEN MODELS OF DISTILLATION TOWERS	Carlos Daniel, Rodriguez Sotelo
2022	Hybrid and data-driven modeling and control approaches to batch and continuous processes	Ghosh, Debanjan
Nov-2022	Hybrid and machine learning based modeling, fault detection, and control of complex processes	Hassanpour, Hesam
2020	Lyapunov-based Control of Nonlinear Processes Systems: Handling Input Constraints and Stochastic Uncertainty	Mahmood, Maaz

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