| Nome |
# |
|
A Gain-Scheduling PI Control Based on Neural Networks, file e2f56ed7-2207-3eaf-e053-3a05fe0a5d97
|
1.907
|
|
Multivariable real-time control of viscosity curve for a continuous production process of a non-Newtonian fluid, file e2f56ed7-6252-3eaf-e053-3a05fe0a5d97
|
502
|
|
Solvent recovery system for a CO2-MEA reactive absorption-stripping plant, file e2f56ed8-7190-3eaf-e053-3a05fe0a5d97
|
311
|
|
Real-time control of viscosity curve for a continuous production process of a non-Newtonian fluid, file e2f56ed7-0448-3eaf-e053-3a05fe0a5d97
|
302
|
|
Control of a natural gas liquid recovery plant in a GSP unit under feed and composition disturbances, file e2f56eda-521c-3eaf-e053-3a05fe0a5d97
|
126
|
|
On the dynamics and robustness of the chemostat with multiplicative noise, file e2f56eda-835b-3eaf-e053-3a05fe0a5d97
|
81
|
|
Effect of the demethanizer improved control strategy on the separation train for the NGL separation process, file 17ceb987-00e3-4c16-8649-2b4c60651530
|
63
|
|
Identification of a cell population model for algae growth processes, file e2f56eda-8361-3eaf-e053-3a05fe0a5d97
|
54
|
|
On the closed-loop stochastic dynamics of two-state nonlinear exothermic CSTRs with PI temperature control, file 74a0e063-9bee-46e0-9f68-25f6a04abcaa
|
24
|
|
Exploring nontraditional LSTM architectures for modeling demethanizer column operations, file e3a79d5a-8abe-4297-9455-a4eb1f58094e
|
12
|
|
A Demethanizer column Digital twin with non-conventional LSTM neural networks arrangement, file d4a95f46-efda-46ef-98e4-9e2ac61173ea
|
10
|
|
Optimal strategies to control particle size and variance in antisolvent crystallization operations using deep RL, file e2f56ed9-cf2c-3eaf-e053-3a05fe0a5d97
|
10
|
|
Model calibration for the carbon dioxide-amine absorption system, file e2f56ed5-6c4f-3eaf-e053-3a05fe0a5d97
|
9
|
|
Control of an exothermic packed-bed tubular reactor, file e2f56ed5-6cc2-3eaf-e053-3a05fe0a5d97
|
9
|
|
Effect of Boundary Conditions and Turbulence Treatment on the Simulated Performance of a Ribbed Heat Exchanger, file 4e7e720f-59af-4667-a36d-c9f1587ef411
|
8
|
|
Energy Saving through Control in an Industrial Multicomponent Distillation Column, file e2f56ed4-950b-3eaf-e053-3a05fe0a5d97
|
8
|
|
Machine learning for monitoring and control of NGL recovery plants, file e2f56ed9-dd68-3eaf-e053-3a05fe0a5d97
|
8
|
|
Controllability of semibatch nonisothermal antisolvent crystallization processes, file e2f56ed4-3ff4-3eaf-e053-3a05fe0a5d97
|
5
|
|
A generalized stochastic modelling approach for crystal size distribution in antisolvent crystallization operations, file e2f56ed6-3a1d-3eaf-e053-3a05fe0a5d97
|
5
|
|
Feedforward ouput-feedback control for a class of exothermic tubular reactors, file e2f56ed4-9ce2-3eaf-e053-3a05fe0a5d97
|
4
|
|
Soft-sensing estimation of plant effluent concentrations in a biological wastewater treatment plant using an optimal neural network, file e2f56ed5-226c-3eaf-e053-3a05fe0a5d97
|
4
|
|
On the modeling of C7+ fractions with real components in plant simulations, file e2f56ed7-c252-3eaf-e053-3a05fe0a5d97
|
4
|
|
CO2 Capture by Reactive Absorption-Stripping Modeling, Analysis and Design, file e2f56ed8-52cd-3eaf-e053-3a05fe0a5d97
|
4
|
|
Control and soft sensing strategies for a wastewater treatment plant using a neuro-genetic approach, file 8d97d9a8-27b7-48c1-ae96-ccb5788f804c
|
3
|
|
Effect of Boundary Conditions and Turbulence Treatment on the Simulated Performance of a Ribbed Heat Exchanger, file cf5721c2-b8fd-4e89-88da-3a39b0f28a11
|
3
|
|
On the influence of hydrogen bond interactions in isothermal and nonisothermal antisolvent crystallization processes, file e2f56ed3-8b66-3eaf-e053-3a05fe0a5d97
|
3
|
|
Stochastic Approach for the Prediction of PSD in Crystallization Processes: Formulation and Comparative Assessment of Different Stochastic Models, file e2f56ed3-a1c0-3eaf-e053-3a05fe0a5d97
|
3
|
|
Image-based multi-resolution-ANN approach for on-line particle size characterization, file e2f56ed3-a48b-3eaf-e053-3a05fe0a5d97
|
3
|
|
On the global nonlinear stochastic dynamical behavior of a class of exothermic CSTRs, file e2f56ed3-ab6c-3eaf-e053-3a05fe0a5d97
|
3
|
|
Stochastic approach for the prediction of PSD in nonisothermal antisolvent crystallization processes, file e2f56ed3-aecd-3eaf-e053-3a05fe0a5d97
|
3
|
|
A deterministic formulation and on-line monitoring technique for the measurement of salt concentration in non-isothermal antisolvent crystallization processes, file e2f56ed3-b0c1-3eaf-e053-3a05fe0a5d97
|
3
|
|
A stochastic approach for the prediction of PSD in crystallization processes: Analytical solution for the asymptotic behavior and parameter estimation, file e2f56ed3-b798-3eaf-e053-3a05fe0a5d97
|
3
|
|
Global-nonlinear stochastic estimation of exothermic reactors with temperature measurement, file e2f56ed3-bb0b-3eaf-e053-3a05fe0a5d97
|
3
|
|
Global-nonlinear stochastic estimation of exothermic reactors with temperature measurement, file e2f56ed3-bb0c-3eaf-e053-3a05fe0a5d97
|
3
|
|
A stochastic approach for the calculation of anti-solvent addition policies in crystallization operations: An application to a bench-scale semi-batch crystallizer, file e2f56ed3-e650-3eaf-e053-3a05fe0a5d97
|
3
|
|
A Priori Tuning of EKF for Monitoring Distillation Columns, file e2f56ed5-1c32-3eaf-e053-3a05fe0a5d97
|
3
|
|
Rigorous modeling of a CO2-MEA stripping system, file e2f56ed6-ae51-3eaf-e053-3a05fe0a5d97
|
3
|
|
Open and closed-loop stochastic dynamics of a class of nonlinear chemical processes with multiplicative noise, file e2f56ed7-a571-3eaf-e053-3a05fe0a5d97
|
3
|
|
Global-nonlinear stochastic dynamics of a class of two-state two-parameter non-isothermal continuous stirred tank reactors, file e2f56ed7-b0b6-3eaf-e053-3a05fe0a5d97
|
3
|
|
null, file e2f56ed9-a327-3eaf-e053-3a05fe0a5d97
|
3
|
|
A Demethanizer column Digital twin with non-conventional LSTM neural networks arrangement, file 2ae8cec2-22f1-40f6-856b-93989c09c6c7
|
2
|
|
On the closed-loop stochastic dynamics of two-state nonlinear exothermic CSTRs with PI temperature control, file 4e18aa06-fe7f-46fa-96bd-daae92bd0c18
|
2
|
|
Composition estimator design for industrial multicomponent distillation column, file e2f56ed3-8ae8-3eaf-e053-3a05fe0a5d97
|
2
|
|
Image-based multi-resolution-ANN approach for on-line particle size characterization, file e2f56ed3-8ae9-3eaf-e053-3a05fe0a5d97
|
2
|
|
Supervised Distance Preserving Projections: Applications in the quantitative analysis of diesel fuels and light cycle oils from NIR spectra, file e2f56ed3-8b0b-3eaf-e053-3a05fe0a5d97
|
2
|
|
On the topological modeling and analysis of industrial process data using the SOM, file e2f56ed3-9261-3eaf-e053-3a05fe0a5d97
|
2
|
|
Estimation structure design for staged systems, file e2f56ed3-933c-3eaf-e053-3a05fe0a5d97
|
2
|
|
A stochastic formulation for the description of the crystal size distribution in antisolvent crystallization processes, file e2f56ed3-a1cd-3eaf-e053-3a05fe0a5d97
|
2
|
|
null, file e2f56ed3-bedc-3eaf-e053-3a05fe0a5d97
|
2
|
|
Predictive control of an activated sludge process: An application to the Viikinmäki wastewater treatment plant, file e2f56ed4-4056-3eaf-e053-3a05fe0a5d97
|
2
|
|
On-line control of crystal properties in nonisothermal antisolvent crystallization, file e2f56ed4-4351-3eaf-e053-3a05fe0a5d97
|
2
|
|
Stochastic global model for the prediction of the asymptotic csds using antisolvent crystallization processes, file e2f56ed4-8b61-3eaf-e053-3a05fe0a5d97
|
2
|
|
A lumped model for the hydrodesulfurization of the refractive compounds during gasoil hydroprocessing, file e2f56ed5-18c5-3eaf-e053-3a05fe0a5d97
|
2
|
|
Monitoring Diesel Fuels Aromatic Composition by MIR Spectroscopy and Chemometric Analysis, file e2f56ed5-2071-3eaf-e053-3a05fe0a5d97
|
2
|
|
Dynamics of nonlinear chemical process with multiplicative stochastic noise, file e2f56ed5-80bc-3eaf-e053-3a05fe0a5d97
|
2
|
|
On-line model-based control of crystal size distribution in cooling-antisolvent crystallization processes, file e2f56ed6-afa3-3eaf-e053-3a05fe0a5d97
|
2
|
|
Process analysis for the carbon dioxide chemical absorptionâregeneration system, file e2f56ed7-5d0d-3eaf-e053-3a05fe0a5d97
|
2
|
|
A model-based approach for controlling particle size distribution in combined cooling-antisolvent crystallization processes, file e2f56ed7-8ff7-3eaf-e053-3a05fe0a5d97
|
2
|
|
Real-Time Nonlinear State Estimation in Polymerization Reactors for Smart Manufacturing, file e2f56ed7-a16a-3eaf-e053-3a05fe0a5d97
|
2
|
|
A geometric observer design for a semi-batch free-radical polymerization system, file e2f56ed8-1103-3eaf-e053-3a05fe0a5d97
|
2
|
|
Control Strategies for Natural Gas Liquids Recovery Plants, file e2f56ed9-6fa8-3eaf-e053-3a05fe0a5d97
|
2
|
|
Neural DMC Control Strategy for a CSTR in Presence of Noise, file fd0451e0-4fb9-4ce4-b176-58089d72a4d2
|
2
|
|
Development of a 4-Measurable States Activated Sludge Process Model Deduced from the ASM1, file 25eab510-f580-431f-85e4-f9c44ef16336
|
1
|
|
Performance assessment of control strategies with application to NGL separation units, file c996ceb2-06f6-4613-aaf6-ab196a7140c8
|
1
|
|
Optimized Control Structure for a Wastewater Treatment Benchmark, file e2f56ed3-85d5-3eaf-e053-3a05fe0a5d97
|
1
|
|
Data-derived analysis and inference for an industrial deethanizer, file e2f56ed3-933d-3eaf-e053-3a05fe0a5d97
|
1
|
|
A qualitative comparison between population balances and stochastic models for non-isothermal antisolvent crystallization processes, file e2f56ed3-9e52-3eaf-e053-3a05fe0a5d97
|
1
|
|
Accurate and efficient solution of distributed dynamical system models, file e2f56ed3-a103-3eaf-e053-3a05fe0a5d97
|
1
|
|
Accurate and efficient solution of distributed dynamical system models, file e2f56ed3-a104-3eaf-e053-3a05fe0a5d97
|
1
|
|
Stochastic Approach for the Prediction of PSD in Crystallization Processes: Formulation and Comparative Assessment of Different Stochastic Models, file e2f56ed3-a1c2-3eaf-e053-3a05fe0a5d97
|
1
|
|
A qualitative comparison between population balances and stochastic models for non-isothermal antisolvent crystallization processes, file e2f56ed3-a7b9-3eaf-e053-3a05fe0a5d97
|
1
|
|
Time evolution of psd in crystallization operations: an analytical solution based on Ornstein-Uhlenbeck process, file e2f56ed3-af2d-3eaf-e053-3a05fe0a5d97
|
1
|
|
Time evolution of psd in crystallization operations: an analytical solution based on Ornstein-Uhlenbeck process, file e2f56ed3-af2e-3eaf-e053-3a05fe0a5d97
|
1
|
|
A stochastic approach for the prediction of PSD in crystallization processes: Analytical solution for the asymptotic behavior and parameter estimation, file e2f56ed3-b797-3eaf-e053-3a05fe0a5d97
|
1
|
|
An application of predictive control to the Viikinmäki wastewater treatment plant, file e2f56ed4-4d3d-3eaf-e053-3a05fe0a5d97
|
1
|
|
Feedforward-feedback control of an industrial multicomponent distillation column, file e2f56ed4-8a60-3eaf-e053-3a05fe0a5d97
|
1
|
|
Measurement structure design for multicomponent distillation column with specific estimation objective, file e2f56ed4-8c45-3eaf-e053-3a05fe0a5d97
|
1
|
|
Modelling of an amine based CO2 absorption plant: an alternative approach through the identification of the number of stages, file e2f56ed7-94aa-3eaf-e053-3a05fe0a5d97
|
1
|
|
Characterization with Fokker–Planck theory of the nonlinear stochastic dynamics of a class of two-state continuous bioreactors, file e2f56ed9-ecf5-3eaf-e053-3a05fe0a5d97
|
1
|
|
Learning to navigate a crystallization model with Deep Reinforcement Learning, file e2f56eda-682f-3eaf-e053-3a05fe0a5d97
|
1
|
| Totale |
3.583 |