UB Paderborn / Katalog / Suche / in CDI

1 – 25 von 42

Sortiert nach

Novel Formulation of Adaptive MPC as EKF Using ANN Model: Multiproduct Semibatch Polymerization Reactor Case Study

IEEE transaction on neural networks and learning systems, 2017-12, Vol.28 (12), p.3061-3073

2017

Volltextzugriff (PDF)

Erratum to the “Kinetic modeling of liquid‐phase esterification of acetic acid with n‐butanol using heterogeneous poly(o‐methylene p‐toluene sulfonic acid) as catalyst”

International journal of chemical kinetics, 2022-04, Vol.54 (4), p.277-277

2022

Volltextzugriff (PDF)

Kinetic modeling of liquid‐phase esterification of acetic acid with n‐butanol using heterogeneous poly(o‐methylene p‐toluene sulfonic acid) as catalyst

International journal of chemical kinetics, 2020-11, Vol.52 (11), p.822-837

2020

Volltextzugriff (PDF)

Data analysis and machine learning aided integrated catalyst activity and process modelling for selective H2 production from biomass gasification

Biomass & bioenergy, 2024-08, Vol.187, p.107291, Article 107291

2024

Volltextzugriff (PDF)

Nonlinear control strategies based on Adaptive ANN models: Multi-product semi-batch polymerization reactor case study

Chemical engineering research & design, 2017-05, Vol.121, p.255-274

2017

Volltextzugriff (PDF)

Modeling and Simulation for the Design of Membrane Processes

1st edition., 2020

Volltextzugriff (PDF)

Modeling in Membranes and Membrane-Based Processes

1, 2020

Volltextzugriff (PDF)

Machine learning insights into prediction of H2 gravimetric capacity in Mg-based pure metal alloys

International journal of hydrogen energy, 2024-08, Vol.77, p.695-711

2024

Volltextzugriff (PDF)

Iterative EKF as a controller in novel MPC formulation: First principles model based IEKF-MPC for SISO systems

Computers & chemical engineering, 2022-07, Vol.163, p.107833, Article 107833

2022

Volltextzugriff (PDF)

Dye sensitization of TiO2 relevant to photocatalytic hydrogen generation: Current research trends and prospects

Journal of photochemistry and photobiology. C, Photochemistry reviews, 2023-12, Vol.57, p.100621, Article 100621

2023

Volltextzugriff (PDF)

Production of n‑Butyl Acetate through Continuous Reactive Distillation Using PTSA–POM as the Catalyst: Lab-Scale Experiments, Modeling and Validation, Commercial-Scale Design, and Economic Evaluation

Industrial & engineering chemistry research, 2023-09, Vol.62 (37), p.15070-15083

2023

Volltextzugriff (PDF)

Measurements, Correlations, and Modified UNIFAC Predictions of Isobaric Vapor–Liquid Equilibrium Data for the Binary System of Dimethyl Carbonate + Anisole at Different Pressures

Journal of chemical and engineering data, 2021-10, Vol.66 (10), p.3788-3801

2021

Volltextzugriff (PDF)

Rational design of high power density “Blue Energy Harvester” pressure retarded osmosis (PRO) membranes using artificial intelligence-based modeling and optimization

Energy conversion and management, 2022-02, Vol.253, p.115160, Article 115160

2022

Volltextzugriff (PDF)

Machine learning aided catalyst activity modelling and design for direct conversion of CO2 to lower olefins

Journal of environmental chemical engineering, 2023-04, Vol.11 (2), p.109555, Article 109555

2023

Volltextzugriff (PDF)

Machine learning models representing catalytic activity for direct catalytic CO2 hydrogenation to methanol

Materials today : proceedings, 2023, Vol.72, p.524-532

2023

Volltextzugriff (PDF)

Application of artificial neural network‐based generic model control to multivariable processes

Asia-Pacific journal of chemical engineering, 2017-09, Vol.12 (5), p.775-789

2017

Volltextzugriff (PDF)

Six-directional sampling method and mean mixing indices for solids blending performance analysis of DEM simulations

Powder technology, 2022-01, Vol.398, p.117051, Article 117051

2022

Volltextzugriff (PDF)

Adaptive Generic Model Control of Multivariable Processes: Application to Semi-Batch Reactors with Different Relative Degrees

Chemical engineering communications, 2017-05, Vol.204 (5), p.607-617

2017

Volltextzugriff (PDF)

Parameterized data-driven fuzzy model based optimal control of a semi-batch reactor

ISA transactions, 2016-09, Vol.64, p.418-430

2016

Volltextzugriff (PDF)

ML based catalyst modelling for photo-catalytic reduction of CO2 to methanol

Materials today : proceedings, 2023, Vol.72, p.494-499

2023

Volltextzugriff (PDF)

Comparative Study of Different Cascade Control Configurations for a Multiproduct Semibatch Polymerization Reactor

Industrial & engineering chemistry research, 2014-09, Vol.53 (38), p.14735-14754

2014

Volltextzugriff (PDF)

Modelling of pretreatment and saccharification with different feedstocks and kinetic modeling of sorghum saccharification

Bioresource technology, 2016-12, Vol.221, p.550-559

2016

Volltextzugriff (PDF)

Artificial Neural Network Modelling of Reverse Electrodialysis

Emerging Materials and Technologies in Water Remediation and Sensing, 2023, Vol.439, p.59-72

2023

Volltextzugriff (PDF)

Adaptive ANN model based nonlinear control of a semi-batch polymerization reactor challenge problem

2016 Indian Control Conference (ICC), 2016, p.222-229

2016

Volltextzugriff (PDF)

Recent Developments of Artificial Intelligence for Renewable Energy: Accelerated Material and Process Design

Sustainable Energy Solutions with Artificial Intelligence, Blockchain Technology, and Internet of Things, 2024, p.1-33

1, 2024

Volltextzugriff (PDF)

1 – 25 von 42

Suche als RSS-Feed

Suchergebnisse filtern

Filter anzeigen

Nur zeigen

Geprüft (Peer-Review)
(19)
Mit Volltextzugriff
(41)

Publikationsform

Sprache

Englisch
(42)
Japanisch
(1)

Erscheinungsjahr

n.n

Thema

Science & Technology
(17)
Technology
(16)
Engineering
(13)
Engineering, Chemical
(8)
Artificial Neural Networks
(7)
Mathematical Models
(7)
Machine Learning
(5)
Reactors
(5)
Temperature Control
(5)
Automation & Control Systems
(4)
Engineering, Electrical & Electronic
(4)
Inductors
(4)
Polymerization
(4)
Semi-Batch-Reaktor
(4)
Temperaturregelung
(4)
Desalination
(3)
Energy & Fuels
(3)
Feeds
(3)
Mathematical Model
(3)
Membranes
(3)

15 weitere anzeigen...

Weniger anzeigen...

Neu hinzugefügt

... seit 90 Tagen
(2)

Menü

Weitere Dienste

Einstellungen

Novel Formulation of Adaptive MPC as EKF Using ANN Model: Multiproduct Semibatch Polymerization Reactor Case Study

Erratum to the “Kinetic modeling of liquid‐phase esterification of acetic acid with n‐butanol using heterogeneous poly(o‐methylene p‐toluene sulfonic acid) as catalyst”

Kinetic modeling of liquid‐phase esterification of acetic acid with n‐butanol using heterogeneous poly(o‐methylene p‐toluene sulfonic acid) as catalyst

Data analysis and machine learning aided integrated catalyst activity and process modelling for selective H2 production from biomass gasification

Nonlinear control strategies based on Adaptive ANN models: Multi-product semi-batch polymerization reactor case study

Modeling and Simulation for the Design of Membrane Processes

Modeling in Membranes and Membrane-Based Processes

Machine learning insights into prediction of H2 gravimetric capacity in Mg-based pure metal alloys

Iterative EKF as a controller in novel MPC formulation: First principles model based IEKF-MPC for SISO systems

Dye sensitization of TiO2 relevant to photocatalytic hydrogen generation: Current research trends and prospects

Production of n‑Butyl Acetate through Continuous Reactive Distillation Using PTSA–POM as the Catalyst: Lab-Scale Experiments, Modeling and Validation, Commercial-Scale Design, and Economic Evaluation

Measurements, Correlations, and Modified UNIFAC Predictions of Isobaric Vapor–Liquid Equilibrium Data for the Binary System of Dimethyl Carbonate + Anisole at Different Pressures

Rational design of high power density “Blue Energy Harvester” pressure retarded osmosis (PRO) membranes using artificial intelligence-based modeling and optimization

Machine learning aided catalyst activity modelling and design for direct conversion of CO2 to lower olefins

Machine learning models representing catalytic activity for direct catalytic CO2 hydrogenation to methanol

Application of artificial neural network‐based generic model control to multivariable processes

Six-directional sampling method and mean mixing indices for solids blending performance analysis of DEM simulations

Adaptive Generic Model Control of Multivariable Processes: Application to Semi-Batch Reactors with Different Relative Degrees

Parameterized data-driven fuzzy model based optimal control of a semi-batch reactor

ML based catalyst modelling for photo-catalytic reduction of CO2 to methanol

Comparative Study of Different Cascade Control Configurations for a Multiproduct Semibatch Polymerization Reactor

Modelling of pretreatment and saccharification with different feedstocks and kinetic modeling of sorghum saccharification

Artificial Neural Network Modelling of Reverse Electrodialysis

Adaptive ANN model based nonlinear control of a semi-batch polymerization reactor challenge problem

Recent Developments of Artificial Intelligence for Renewable Energy: Accelerated Material and Process Design

Suchergebnisse filtern