Search Results - "Roberto Baratti"
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A Gain-Scheduling PI Control Based on Neural Networks
Published in Complexity (New York, N.Y.) (01-01-2017)“…This paper presents a gain-scheduling design technique that relies upon neural models to approximate plant behaviour. The controller design is based on generic…”
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Solvent Recovery System for a Co2-mea Reactive Absorption-stripping Plant
Published in Chemical engineering transactions (01-05-2019)“…The solvent recovery section from the exhaust gas represents an important auxiliary part for an industrial CO2 post-combustion capture plant by the reactive…”
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3
Machine Learning for Monitoring and Control of Ngl Recovery Plants
Published in Chemical engineering transactions (01-06-2021)“…In this contribution, the monitoring and control problem of the natural gas liquids (NGL) extraction process is addressed by exploiting a data-driven approach…”
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Stochastic Approach for the Prediction of PSD in Crystallization Processes: Formulation and Comparative Assessment of Different Stochastic Models
Published in Industrial & engineering chemistry research (16-02-2011)“…A stochastic formulation for the description of antisolvent mediated crystal growth processes is discussed. In the proposed approach, the crystal size growth…”
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5
On the closed-loop stochastic dynamics of two-state nonlinear exothermic CSTRs with PI temperature control
Published in Computers & chemical engineering (01-06-2023)“…•A class of exothermic nonlinear 2-state reactors with linear PI control is studied.•The reactor is subjected to zero and time-varying mean random…”
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Process analysis for the carbon dioxide chemical absorption–regeneration system
Published in Applied energy (01-04-2018)“…•The steady state design for a CO2-MEA absorption-stripping system is analyzed.•The column internal profiles are considered along with the outputs.•An L/G…”
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Learning to navigate a crystallization model with Deep Reinforcement Learning
Published in Chemical engineering research & design (01-02-2022)“…•Convolutional Neural Network is used to measure the size distribution of crystals.•Reinforcement Learning is used to learn an optimal control policy.•Removes…”
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8
Characterization with Fokker–Planck theory of the nonlinear stochastic dynamics of a class of two-state continuous bioreactors
Published in Journal of process control (01-06-2021)“…The nonlinear stochastic dynamics of a class of two-state bioreactors with isotonic or nonisotonic kinetics is analytically characterized with Fokker–Planck…”
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Exploring nontraditional LSTM architectures for modeling demethanizer column operations
Published in Computers & chemical engineering (01-04-2024)“…•Application of digital twins in NGL separation plant operations.•Non-conventional Long Short-Term Memory (LSTM) neural network arrangement is used.•Digital…”
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10
Effect of Boundary Conditions and Turbulence Treatment on the Simulated Performance of a Ribbed Heat Exchanger
Published in Heat transfer engineering (22-08-2023)“…Ribbed surfaces are widely employed in heat exchangers to enhance the convective heat transfer and hence the overall thermal efficiency. This study aims to…”
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11
Model calibration for the carbon dioxide-amine absorption system
Published in Applied energy (01-12-2016)“…•A steady state simulation for CO2 removal by amine absorption is considered.•The Peclet number was evaluated for the absorber column.•The high Peclet numbers…”
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12
Open and closed-loop stochastic dynamics of a class of nonlinear chemical processes with multiplicative noise
Published in Journal of process control (01-06-2018)“…The open and closed-loop global state probability density function behavior of a class of single-state nonlinear chemical processes subjected to additive and…”
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13
A generalized stochastic modelling approach for crystal size distribution in antisolvent crystallization operations
Published in AIChE journal (01-02-2017)“…A generalized formulation for the development of stochastic models to predict the crystal size distribution (CSD) in antisolvent crystallization processes is…”
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14
Optimal Strategies to Control Particle Size and Variance in Antisolvent Crystallization Operations Using Deep Rl
Published in Chemical engineering transactions (01-06-2021)Get full text
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15
Predictive control of an activated sludge process: An application to the Viikinmäki wastewater treatment plant
Published in Journal of process control (01-11-2015)“…•Multivariable predictive control for optimisation of wastewater treatment plant operation.•The aim is to improve nitrogen removal efficiency while reducing…”
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Global-nonlinear stochastic dynamics of a class of two-state two-parameter non-isothermal continuous stirred tank reactors
Published in Journal of process control (01-12-2018)“…The global-nonlinear stochastic dynamics of a class of two-state two-parameter continuous exothermic chemical reactors subjected to noise disturbances is…”
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17
On-line control of crystal properties in nonisothermal antisolvent crystallization
Published in AIChE journal (01-07-2015)“…The issues regarding the design and implementation of on‐line optimal control strategies of crystal properties in nonisothermal antisolvent crystallization…”
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18
Estimation structure design for staged systems
Published in Journal of process control (01-12-2012)“…► The estimation structure for staged systems is designed for a certain task. ► The design includes measurements, complete/truncated model and innovation…”
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19
Time evolution of the PSD in crystallization operations: An analytical solution based on Ornstein-Uhlenbeck process
Published in AIChE journal (01-12-2012)“…A new formulation of the recent stochastic approach for the description of the particle‐size distribution (PSD) time evolution in antisolvent crystal‐growth…”
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20
Stochastic approach for the prediction of PSD in nonisothermal antisolvent crystallization processes
Published in AIChE journal (01-08-2013)“…A stochastic formulation for the description of cooling‐antisolvent mediated crystal growth processes based on the Fokker‐Planck equation is discussed…”
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