UB Paderborn / Katalog / Suche / in CDI

1 – 25 von 61

Sortiert nach

LSTM and GRU Neural Networks as Models of Dynamical Processes Used in Predictive Control: A Comparison of Models Developed for Two Chemical Reactors

Sensors (Basel, Switzerland), 2021-08, Vol.21 (16), p.5625

2021

Link zum Volltext

Verfügbarkeit prüfen

Practical nonlinear predictive control algorithms for neural Wiener models

Journal of process control, 2013-06, Vol.23 (5), p.696-714

Ławryńczuk, Maciej

2013

Link zum Volltext

Verfügbarkeit prüfen

Identification of Wiener models for dynamic and steady‐state performance with application to solid oxide fuel cell

Asian journal of control, 2019-07, Vol.21 (4), p.1836-1846

Ławryńczuk, Maciej

2019

Link zum Volltext

Verfügbarkeit prüfen

Special Issue “Model Predictive Control: Algorithms and Applications”: Foreword by the Guest Editor

Algorithms, 2022-11, Vol.15 (12), p.452

Ławryńczuk, Maciej

2022

Link zum Volltext

Verfügbarkeit prüfen

Long Short-Term Memory Neural Networks for Modeling Dynamical Processes and Predictive Control: A Hybrid Physics-Informed Approach

Sensors (Basel, Switzerland), 2023-11, Vol.23 (21), p.8898

2023

Link zum Volltext

Verfügbarkeit prüfen

Fast Nonlinear Predictive Control Using Classical and Parallel Wiener Models: A Comparison for a Neutralization Reactor Process

Sensors (Basel, Switzerland), 2023-11, Vol.23 (23), p.9539

2023

Link zum Volltext

Verfügbarkeit prüfen

Fast Model Predictive Control of PEM Fuel Cell System Using the L1 Norm

Energies (Basel), 2022-07, Vol.15 (14), p.5157

2022

Link zum Volltext

Verfügbarkeit prüfen

Computationally Efficient Nonlinear Model Predictive Control Using the L1 Cost-Function

Sensors (Basel, Switzerland), 2021-08, Vol.21 (17), p.5835

2021

Link zum Volltext

Verfügbarkeit prüfen

Beyond the quadratic norm: Computationally efficient constrained nonlinear MPC using a custom cost function

ISA transactions, 2023-03, Vol.134, p.336-356

2023

Link zum Volltext

Verfügbarkeit prüfen

On-line set-point optimisation and predictive control using neural Hammerstein models

Chemical engineering journal (Lausanne, Switzerland : 1996), 2011, Vol.166 (1), p.269-287

LAWRYNCZUK, Maciej

2011

Link zum Volltext

Verfügbarkeit prüfen

Explicit nonlinear predictive control algorithms with neural approximation

Neurocomputing (Amsterdam), 2014-04, Vol.129, p.570-584

Lawrynczuk, Maciej

2014

Link zum Volltext

Verfügbarkeit prüfen

Forgery Cyber-Attack Supported by LSTM Neural Network: An Experimental Case Study

Sensors (Basel, Switzerland), 2023-07, Vol.23 (15), p.6778

2023

Link zum Volltext

Verfügbarkeit prüfen

Accuracy and computational efficiency of suboptimal nonlinear predictive control based on neural models

Applied soft computing, 2011-03, Vol.11 (2), p.2202-2215

Ławryńczuk, Maciej

2011

Link zum Volltext

Verfügbarkeit prüfen

Pruning of recurrent neural models: an optimal brain damage approach

Nonlinear dynamics, 2018-04, Vol.92 (2), p.763-780

2018

Link zum Volltext

Verfügbarkeit prüfen

Initialisation of Optimisation Solvers for Nonlinear Model Predictive Control: Classical vs. Hybrid Methods

Energies (Basel), 2022-04, Vol.15 (7), p.2483

2022

Link zum Volltext

Verfügbarkeit prüfen

Wiener structures for modeling and nonlinear predictive control of proton exchange membrane fuel cell

Nonlinear dynamics, 2019-01, Vol.95 (2), p.1639-1660

2019

Link zum Volltext

Verfügbarkeit prüfen

Modelling and nonlinear predictive control of a yeast fermentation biochemical reactor using neural networks

Chemical engineering journal (Lausanne, Switzerland : 1996), 2008-12, Vol.145 (2), p.290-307

LAWRYNCZUK, Maciej

2008

Link zum Volltext

Verfügbarkeit prüfen

Software Development Effort Estimation Using Regression Fuzzy Models

Computational intelligence and neuroscience, 2019-01, Vol.2019, p.8367214-17

2019

Link zum Volltext

Verfügbarkeit prüfen

Improved Classification of White Blood Cells with the Generative Adversarial Network and Deep Convolutional Neural Network

Computational intelligence and neuroscience, 2020-07, Vol.2020, p.1-12

2020

Link zum Volltext

Verfügbarkeit prüfen

Elman neural network for modeling and predictive control of delayed dynamic systems

Archives of control sciences, 2016-03, Vol.26 (1), p.117-142

2016

Link zum Volltext

Verfügbarkeit prüfen

GAN Neural Networks Architectures for Testing Process Control Industrial Network Against Cyber-Attacks

IEEE access, 2023-01, Vol.11, p.1-1

2023

Link zum Volltext

Verfügbarkeit prüfen

Neural Modelling of a Yeast Fermentation Process Using Extreme Learning Machines

Challenges in Automation, Robotics and Measurement Techniques, p.13-23

Ławryńczuk, Maciej

Link zum Volltext

Verfügbarkeit prüfen

Modulation Classification of Underwater Communication with Deep Learning Network

Computational intelligence and neuroscience, 2019-01, Vol.2019, p.8039632-12

2019

Link zum Volltext

Verfügbarkeit prüfen

Multivariate Streamflow Simulation Using Hybrid Deep Learning Models

Computational intelligence and neuroscience, 2021, Vol.2021, p.5172658-16

2021

Link zum Volltext

Verfügbarkeit prüfen

A Neural Learning Approach for a Data-Driven Nonlinear Error Correction Model

Computational intelligence and neuroscience, 2023, Vol.2023, p.5884314-14

2023

Link zum Volltext

Verfügbarkeit prüfen

1 – 25 von 61

Suche als RSS-Feed

Aktive Filter

ThemaNeural Networks

Suchergebnisse filtern

Filter anzeigen

Nur zeigen

Geprüft (Peer-Review)
(50)
Mit Volltextzugriff
(55)

Publikationsform

Sprache

Englisch
(61)

Erscheinungsjahr

n.n

Thema

Science & Technology
(48)
Technology
(40)
Model Predictive Control
(32)
Process Control
(25)
Algorithms
(24)
Optimisation
(24)
Computer Science
(21)
Engineering
(17)
Computer Science, Artificial Intelligence
(16)
Linearisation
(14)
Quadratic Programming
(14)
Predictive Control
(11)
Computer Science, Theory & Methods
(9)
Life Sciences & Biomedicine
(9)
Optimization
(9)
Automation & Control Systems
(8)
Computer Science, Information Systems
(8)
Machine Learning
(8)
Mathematical & Computational Biology
(8)

14 weitere anzeigen...

Weniger anzeigen...

Zeitschrift / Serie

Computational Intelligence And Neuroscience
(10)
Sensors
(5)
Neurocomputing
(3)
Chemical Engineering Journal
(2)
Energies
(2)
Ieee Access
(2)
Nonlinear Dynamics
(2)
Algorithms
(1)
Applied Intelligence
(1)
Applied Soft Computing
(1)

5 weitere anzeigen...

Weniger anzeigen...

Menü

Weitere Dienste

Einstellungen

LSTM and GRU Neural Networks as Models of Dynamical Processes Used in Predictive Control: A Comparison of Models Developed for Two Chemical Reactors

Practical nonlinear predictive control algorithms for neural Wiener models

Identification of Wiener models for dynamic and steady‐state performance with application to solid oxide fuel cell

Special Issue “Model Predictive Control: Algorithms and Applications”: Foreword by the Guest Editor

Long Short-Term Memory Neural Networks for Modeling Dynamical Processes and Predictive Control: A Hybrid Physics-Informed Approach

Fast Nonlinear Predictive Control Using Classical and Parallel Wiener Models: A Comparison for a Neutralization Reactor Process

Fast Model Predictive Control of PEM Fuel Cell System Using the L1 Norm

Computationally Efficient Nonlinear Model Predictive Control Using the L1 Cost-Function

Beyond the quadratic norm: Computationally efficient constrained nonlinear MPC using a custom cost function

On-line set-point optimisation and predictive control using neural Hammerstein models

Explicit nonlinear predictive control algorithms with neural approximation

Forgery Cyber-Attack Supported by LSTM Neural Network: An Experimental Case Study

Accuracy and computational efficiency of suboptimal nonlinear predictive control based on neural models

Pruning of recurrent neural models: an optimal brain damage approach

Initialisation of Optimisation Solvers for Nonlinear Model Predictive Control: Classical vs. Hybrid Methods

Wiener structures for modeling and nonlinear predictive control of proton exchange membrane fuel cell

Modelling and nonlinear predictive control of a yeast fermentation biochemical reactor using neural networks

Software Development Effort Estimation Using Regression Fuzzy Models

Improved Classification of White Blood Cells with the Generative Adversarial Network and Deep Convolutional Neural Network

Elman neural network for modeling and predictive control of delayed dynamic systems

GAN Neural Networks Architectures for Testing Process Control Industrial Network Against Cyber-Attacks

Neural Modelling of a Yeast Fermentation Process Using Extreme Learning Machines

Modulation Classification of Underwater Communication with Deep Learning Network

Multivariate Streamflow Simulation Using Hybrid Deep Learning Models

A Neural Learning Approach for a Data-Driven Nonlinear Error Correction Model

Aktive Filter

Suchergebnisse filtern