Search Results - "Christofides, Panagiotis D."
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A tutorial review of economic model predictive control methods
Published in Journal of process control (01-08-2014)“…•Methods for the design of economic model predictive control (EMPC) systems.•Discussion of closed-loop stability and performance properties of various EMPC…”
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Journal Article -
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Machine learning‐based predictive control of nonlinear processes. Part I: Theory
Published in AIChE journal (01-11-2019)“…This article focuses on the design of model predictive control (MPC) systems for nonlinear processes that utilize an ensemble of recurrent neural network (RNN)…”
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Machine‐learning‐based predictive control of nonlinear processes. Part II: Computational implementation
Published in AIChE journal (01-11-2019)“…Machine learning is receiving more attention in classical engineering fields, and in particular, recurrent neural networks (RNNs) coupled with ensemble…”
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Distributed model predictive control: A tutorial review and future research directions
Published in Computers & chemical engineering (05-04-2013)“…In this paper, we provide a tutorial review of recent results in the design of distributed model predictive control systems. Our goal is to not only…”
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Recurrent Neural-Network-Based Model Predictive Control of a Plasma Etch Process
Published in Industrial & engineering chemistry research (12-01-2022)“…In this article, we propose the development of a recurrent neural network (RNN)-based model predictive controller (MPC) for a plasma etch process on a…”
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6
Machine-learning-based state estimation and predictive control of nonlinear processes
Published in Chemical engineering research & design (01-03-2021)“…•Design of state estimators using recurrent neural networks from process data.•Design of hybrid state estimators using both process data and first…”
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Machine learning-based model predictive control of diffusion-reaction processes
Published in Chemical engineering research & design (01-09-2021)“…•Empirical eigenfunction construction from process data.•Neural network modeling of temporal evolution.•Model predictive control using machine learning…”
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Microscopic and data-driven modeling and operation of thermal atomic layer etching of aluminum oxide thin films
Published in Chemical engineering research & design (01-01-2022)“…•Microscopic modeling of atomic layer etching.•Calculation of reaction rate parameters via first-principles.•Computationally-efficient machine learning model…”
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Economic Machine-Learning-Based Predictive Control of Nonlinear Systems
Published in Mathematics (Basel) (01-06-2019)“…In this work, a Lyapunov-based economic model predictive control (LEMPC) method is developed to address economic optimality and closed-loop stability of…”
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Journal Article -
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Analysis of forward osmosis desalination via two-dimensional FEM model
Published in Journal of membrane science (01-08-2014)“…Forward osmosis (FO) desalination was investigated via 2-D numerical model of the fully coupled hydrodynamics and mass transfer equations. The model was…”
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Journal Article -
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Machine learning-based modeling and operation for ALD of SiO2 thin-films using data from a multiscale CFD simulation
Published in Chemical engineering research & design (01-11-2019)“…[Display omitted] •Multiscale computational fluid dynamics (CFD) modeling of ALD reactor.•Machine-learning modeling using multiscale CFD model data.•Use of…”
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Multiscale three-dimensional CFD modeling for PECVD of amorphous silicon thin films
Published in Computers & chemical engineering (08-05-2018)“…•Development of a three-dimensional, multiscale computational fluid dynamics (CFD) modeling framework for thin film growth processes.•Efficient parallel…”
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Multiscale modeling and run-to-run control of PECVD of thin film solar cells
Published in Renewable energy (01-01-2017)“…In this work, we focus on the development of a multiscale modeling and run-to-run control framework with the purpose of improving thin film product quality in…”
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Microscopic modeling and optimal operation of plasma enhanced atomic layer deposition
Published in Chemical engineering research & design (01-07-2020)“…•Kinetic Monte-Carlo modeling of PEALD.•Calculation of kMC model parameters via DFT.•Comparison with experimental data.•Neural network modeling for determining…”
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Journal Article -
15
Statistical Machine Learning in Model Predictive Control of Nonlinear Processes
Published in Mathematics (Basel) (01-08-2021)“…Recurrent neural networks (RNNs) have been widely used to model nonlinear dynamic systems using time-series data. While the training error of neural networks…”
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Journal Article -
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Multiscale modeling and operation of PECVD of thin film solar cells
Published in Chemical engineering science (02-11-2015)“…This work proposes a multiscale modeling and operation framework for plasma-enhanced chemical vapor deposition (PECVD) of thin film silicon solar cells with…”
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Journal Article -
17
Real-Time Optimization and Control of Nonlinear Processes Using Machine Learning
Published in Mathematics (Basel) (01-10-2019)“…Machine learning has attracted extensive interest in the process engineering field, due to the capability of modeling complex nonlinear process behavior. This…”
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Journal Article -
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Distributed economic MPC: Application to a nonlinear chemical process network
Published in Journal of process control (01-04-2012)“…► Method for the design of distributed economic model predictive control systems. ► Establishment of closed-loop stability properties using rigorous…”
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Journal Article -
19
Modeling and control of protein crystal shape and size in batch crystallization
Published in AIChE journal (01-07-2013)“…In this work, the modeling and control of a batch crystallization process used to produce tetragonal hen egg white lysozyme crystals are studied. Two processes…”
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Journal Article -
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Modeling and Control of High-Velocity Oxygen-Fuel (HVOF) Thermal Spray: A Tutorial Review
Published in Journal of thermal spray technology (01-12-2009)“…This work provides a tutorial overview of recent research efforts in modeling and control of the high-velocity oxygen-fuel (HVOF) thermal spray process…”
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