Maciej Lawrynczuk
Orcid: 0000-0002-6846-2004
According to our database1,
Maciej Lawrynczuk
authored at least 103 papers
between 2003 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
On csauthors.net:
Bibliography
2024
Sensors, June, 2024
Methodology for Conducting a Study of the Vulnerability of PLC Control Algorithms to Cyber Attacks.
IEEE Access, 2024
2023
Fast Nonlinear Predictive Control Using Classical and Parallel Wiener Models: A Comparison for a Neutralization Reactor Process.
Sensors, December, 2023
Long Short-Term Memory Neural Networks for Modeling Dynamical Processes and Predictive Control: A Hybrid Physics-Informed Approach.
Sensors, November, 2023
Sensors, August, 2023
GAN Neural Networks Architectures for Testing Process Control Industrial Network Against Cyber-Attacks.
IEEE Access, 2023
Proceedings of the Advanced, Contemporary Control, 2023
On the Choice of the Cost Function for Nonlinear Model Predictive Control: A Multi-criteria Evaluation.
Proceedings of the Advanced, Contemporary Control, 2023
2022
Digital Twins in the Practice of High-Energy Physics Experiments: A Gas System for the Multipurpose Detector.
Sensors, 2022
Input convex neural networks in nonlinear predictive control: A multi-model approach.
Neurocomputing, 2022
Special Issue "Model Predictive Control: Algorithms and Applications": Foreword by the Guest Editor.
Algorithms, 2022
Fast Nonlinear Model Predictive Control Using LSTM Networks: A Model Linearisation Approach.
Proceedings of the 30th Mediterranean Conference on Control and Automation, 2022
Fast Nonlinear Model Predictive Control Using a Custom Cost-Function: Preliminary Results.
Proceedings of the 30th Mediterranean Conference on Control and Automation, 2022
Nonlinear Predictive Control Using Wiener Models - Computationally Efficient Approaches for Polynomial and Neural Structures
389, Springer, ISBN: 978-3-030-83814-0, 2022
2021
LSTM and GRU Neural Networks as Models of Dynamical Processes Used in Predictive Control: A Comparison of Models Developed for Two Chemical Reactors.
Sensors, 2021
Computationally Efficient Nonlinear Model Predictive Control Using the L1 Cost-Function.
Sensors, 2021
Make a difference, open the door: The energy-efficient multi-layer thermal comfort control system based on a graph airflow model with doors and windows.
Inf. Sci., 2021
Algorithms, 2021
IEEE Access, 2021
Computationally Simple Nonlinear MPC Algorithm for Vehicle Obstacle Avoidance With Minimization of Fuel Utilization.
IEEE Access, 2021
2020
AutoMATiC: Code Generation of Model Predictive Control Algorithms for Microcontrollers.
IEEE Trans. Ind. Informatics, 2020
Inf. Sci., 2020
Comput. Chem. Eng., 2020
Nonlinear Model Predictive Control for Processes with Complex Dynamics: A Parameterisation Approach Using Laguerre Functions.
Int. J. Appl. Math. Comput. Sci., 2020
Multicriteria Ammonia Plant Assessment for the Advanced Process Control Implementation.
IEEE Access, 2020
Control Quality Assessment for Processes With Asymmetric Properties and its Application to pH Reactor.
IEEE Access, 2020
Proceedings of the Advanced, Contemporary Control - Proceedings of KKA 2020, 2020
Proceedings of the Advanced, Contemporary Control - Proceedings of KKA 2020, 2020
PC-Based Simulation Environment for the Engine Control Optimiser Hardware-in-the-Loop Testing.
Proceedings of the Advanced, Contemporary Control - Proceedings of KKA 2020, 2020
Identification of Linear Models of a Tandem-Wing Quadplane Drone: Preliminary Results.
Proceedings of the Advanced, Contemporary Control - Proceedings of KKA 2020, 2020
Proceedings of the Advanced, Contemporary Control - Proceedings of KKA 2020, 2020
Proceedings of the 2020 American Control Conference, 2020
2019
Fast Analytical Model Predictive Controllers and Their Implementation for STM32 ARM Microcontroller.
IEEE Trans. Ind. Informatics, 2019
Inf. Sci., 2019
Development of a High-Efficiency Pitch/Roll Inertial Measurement Unit Based on a Low-Cost Accelerometer and Gyroscope Sensors.
Proceedings of the 24th International Conference on Methods and Models in Automation and Robotics, 2019
Proceedings of the 24th International Conference on Methods and Models in Automation and Robotics, 2019
Real-Time Optimisation of Control Strategy for a Low Fuel Consumption Vehicle Engine Using STM32 Microcontroller: Preliminary Results.
Proceedings of the 17th European Control Conference, 2019
2018
Computationally Efficient Implementation of Dynamic Matrix Control Algorithm for Very Fast Processes Using Programmable Logic Controller.
Proceedings of the 23rd International Conference on Methods & Models in Automation & Robotics, 2018
Optimisation-Based Tuning of Dynamic Matrix Control Algorithm for Multiple-Input Multiple-Output Processes.
Proceedings of the 23rd International Conference on Methods & Models in Automation & Robotics, 2018
Development of a Model Predictive Controller for an Unstable Heavy Self-Balancing Robot.
Proceedings of the 23rd International Conference on Methods & Models in Automation & Robotics, 2018
Proceedings of the Automation 2018, 2018
2017
Int. J. Appl. Math. Comput. Sci., 2017
Proceedings of the Trends in Advanced Intelligent Control, Optimization and Automation - Proceedings of KKA 2017, 2017
Implementation of Analytical Generalized Predictive Controller for Very Fast Applications Using Microcontrollers: Preliminary Results.
Proceedings of the Trends in Advanced Intelligent Control, Optimization and Automation - Proceedings of KKA 2017, 2017
Automatic Code Generation of MIMO Model Predictive Control Algorithms using Transcompiler.
Proceedings of the Trends in Advanced Intelligent Control, Optimization and Automation - Proceedings of KKA 2017, 2017
2016
Modelling and predictive control of a neutralisation reactor using sparse support vector machine Wiener models.
Neurocomputing, 2016
Proceedings of the 21st International Conference on Methods and Models in Automation and Robotics, 2016
Design and implementation of the air/water heat pump controller with increased coefficient of performance.
Proceedings of the 21st International Conference on Methods and Models in Automation and Robotics, 2016
Proceedings of the 21st International Conference on Methods and Models in Automation and Robotics, 2016
Auto-generation of advanced control algorithms' code for microcontrollers using transcompiler.
Proceedings of the 21st International Conference on Methods and Models in Automation and Robotics, 2016
Proceedings of the Challenges in Automation, Robotics and Measurement Techniques, 2016
Proceedings of the Challenges in Automation, Robotics and Measurement Techniques, 2016
2015
Predictive Control of a Multivariable Neutralisation Process Using Elman Neural Networks.
Proceedings of the Progress in Automation, Robotics and Measuring Techniques, 2015
Proceedings of the Progress in Automation, Robotics and Measuring Techniques, 2015
Nonlinear State-Space Predictive Control With On-Line Linearisation And State Estimation.
Int. J. Appl. Math. Comput. Sci., 2015
Proceedings of the 20th International Conference on Methods and Models in Automation and Robotics, 2015
Proceedings of the 20th International Conference on Methods and Models in Automation and Robotics, 2015
RBF neural networks for modelling and predictive control: An application to a neutralisation process.
Proceedings of the 20th International Conference on Methods and Models in Automation and Robotics, 2015
2014
Proceedings of the Recent Advances in Automation, 2014
Neurocomputing, 2014
Proceedings of the 2014 IEEE International Symposium on Intelligent Control, 2014
2013
Nonlinear Predictive Control Based on Least Squares Support Vector Machines Hammerstein Models.
Proceedings of the Adaptive and Natural Computing Algorithms, 2013
Development of Explicit Neural Predictive Control Algorithm Using Particle Swarm Optimisation.
Proceedings of the Artificial Intelligence and Soft Computing, 2013
Proceedings of the 2013 Federated Conference on Computer Science and Information Systems, 2013
2012
On-Line Trajectory-Based Linearisation of Neural Models for a Computationally Efficient Predictive Control Algorithm.
Proceedings of the Artificial Intelligence and Soft Computing, 2012
2011
Online set-point optimisation cooperating with predictive control of a yeast fermentation process: A neural network approach.
Eng. Appl. Artif. Intell., 2011
Accuracy and computational efficiency of suboptimal nonlinear predictive control based on neural models.
Appl. Soft Comput., 2011
Precise and Computationally Efficient Nonlinear Predictive Control Based on Neural Wiener Models.
Proceedings of the Foundations of Intelligent Systems - 19th International Symposium, 2011
Proceedings of the Adaptive and Natural Computing Algorithms, 2011
Proceedings of the Adaptive and Natural Computing Algorithms, 2011
2010
Computationally efficient nonlinear predictive control based on neural Wiener models.
Neurocomputing, 2010
Suboptimal nonlinear predictive control based on multivariable neural Hammerstein models.
Appl. Intell., 2010
Int. J. Appl. Math. Comput. Sci., 2010
Explicit Neural Network-Based Nonlinear Predictive Control with Low Computational Complexity.
Proceedings of the Rough Sets and Current Trends in Computing, 2010
Proceedings of the Architecting Critical Systems, First International Symposium, 2010
Proceedings of the Trends in Applied Intelligent Systems, 2010
Proceedings of the Artifical Intelligence and Soft Computing, 2010
Proceedings of the Artifical Intelligence and Soft Computing, 2010
2009
Proceedings of the Natural Intelligence for Scheduling, Planning and Packing Problems, 2009
Int. J. Appl. Math. Comput. Sci., 2009
Computationally Efficient Nonlinear Predictive Control Based on State-Space Neural Models.
Proceedings of the Parallel Processing and Applied Mathematics, 2009
Computationally Efficient Nonlinear Predictive Control Based on RBF Neural Multi-models.
Proceedings of the Adaptive and Natural Computing Algorithms, 9th International Conference, 2009
A Predictive Control Economic Optimiser and Constraint Governor Based on Neural Models.
Proceedings of the Adaptive and Natural Computing Algorithms, 9th International Conference, 2009
Integrated predictive optimiser and constraint supervisor for processes with basic feedback control.
Proceedings of the 10th European Control Conference, 2009
Proceedings of the 10th European Control Conference, 2009
2008
Proceedings of the New Frontiers in Applied Artificial Intelligence, 2008
Efficient Predictive Control Integrated with Economic Optimisation Based on Neural Models.
Proceedings of the Artificial Intelligence and Soft Computing, 2008
Efficient Predictive Control Algorithms Based on Soft Computing Approaches: Application to Glucose Concentration Stabilization.
Proceedings of the Technological Developments in Education and Automation, 2008
Proceedings of the Technological Developments in Education and Automation, 2008
Proceedings of the Artificial Intelligence: Methodology, 2008
Proceedings of the Artificial Intelligence: Methodology, 2008
2007
Int. J. Appl. Math. Comput. Sci., 2007
A Computationally Efficient Nonlinear Predictive Control Algorithm with RBF Neural Models and Its Application.
Proceedings of the Rough Sets and Intelligent Systems Paradigms, International Conference, 2007
Jet Engine Turbine and Compressor Characteristics Approximation by Means of Artificial Neural Networks.
Proceedings of the Adaptive and Natural Computing Algorithms, 8th International Conference, 2007
Neural Models in Computationally Efficient Predictive Control Cooperating with Economic Optimisation.
Proceedings of the Artificial Neural Networks, 2007
Proceedings of the Artificial Neural Networks, 2007
2006
An Efficient Nonlinear Predictive Control Algorithm with Neural Models and Its Application to a High-Purity Distillation Process.
Proceedings of the Artificial Intelligence and Soft Computing, 2006
2003
An iterative nonlinear predictive control algorithm based on linearisation and neural models.
Proceedings of the 7th European Control Conference, 2003