Maciej Lawrynczuk

According to our database1, Maciej Lawrynczuk authored at least 86 papers between 2003 and 2021.

Collaborative distances:
  • Dijkstra number2 of six.
  • Erdős number3 of six.

Timeline

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Bibliography

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

Fast Real-Time Model Predictive Control for a Ball-on-Plate Process.
Sensors, 2021

Computationally Efficient Nonlinear Model Predictive Control Using the L1 Cost-Function.
Sensors, 2021

Tuning of Multivariable Model Predictive Control for Industrial Tasks.
Algorithms, 2021

A Novel Neural Network Model Applied to Modeling of a Tandem-Wing Quadplane Drone.
IEEE Access, 2021

Computationally Simple Nonlinear MPC Algorithm for Vehicle Obstacle Avoidance With Minimization of Fuel Utilization.
IEEE Access, 2021

Impact of MPC Embedded Performance Index on Control Quality.
IEEE Access, 2021

2020
AutoMATiC: Code Generation of Model Predictive Control Algorithms for Microcontrollers.
IEEE Trans. Ind. Informatics, 2020

Offset-free state-space nonlinear predictive control for Wiener systems.
Inf. Sci., 2020

Algorithms with state estimation in linear and nonlinear model predictive control.
Comput. Chem. Eng., 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

Development and Modelling of a Laboratory Ball on Plate Process.
Proceedings of the Advanced, Contemporary Control - Proceedings of KKA 2020, 2020

A System for Detection of Pressure Leaks.
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

Tuning of Nonlinear MPC Algorithm for Vehicle Obstacle Avoidance.
Proceedings of the Advanced, Contemporary Control - Proceedings of KKA 2020, 2020

Multi-Criteria Control Performance Assessment Method for Multivariate MPC.
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

Optimization of control strategy for a low fuel consumption vehicle engine.
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

Multi-criteria Loop Quality Assessment: A Large-Scale Industrial Case Study.
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
Towards Reduced-Order Models of Solid Oxide Fuel Cell.
Complex., 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

A Cascade PD Controller for Heavy Self-balancing Robot.
Proceedings of the Automation 2018, 2018

2017
Assessment of the GPC Control Quality Using Non-Gaussian Statistical Measures.
Int. J. Appl. Math. Comput. Sci., 2017

Identification of Discrete-Time Model of Active Magnetic Levitation System.
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

Multiple-input multiple-output laboratory stand for process control education.
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

An easily trained neural model of a distributed parameter system.
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

Two- and Three-Layer Recurrent Elman Neural Networks as Models of Dynamic Processes.
Proceedings of the Challenges in Automation, Robotics and Measurement Techniques, 2016

Neural Modelling of a Yeast Fermentation Process Using Extreme Learning Machines.
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

Recurrent Polynomial and Neural Structures in Modelling of a Neutralisation Process.
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

Jordan neural network for modelling and predictive control of dynamic systems.
Proceedings of the 20th International Conference on Methods and Models in Automation and Robotics, 2015

Approximate state-space model predictive control.
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
On Choice of the Sampling Period and the Horizons in Generalized Predictive Control.
Proceedings of the Recent Advances in Automation, 2014

Explicit nonlinear predictive control algorithms with neural approximation.
Neurocomputing, 2014

Model predictive control with on-line optimal linearisation.
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

An Investment Strategy for the Stock Exchange Using Neural Networks.
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

Predictive Control of a Distillation Column Using a Control-Oriented Neural Model.
Proceedings of the Adaptive and Natural Computing Algorithms, 2011

Nonlinear Predictive Control Based on Multivariable Neural Wiener Models.
Proceedings of the Adaptive and Natural Computing Algorithms, 2011

2010
Computationally efficient nonlinear predictive control based on neural Wiener models.
Neurocomputing, 2010

Training of neural models for predictive control.
Neurocomputing, 2010

Suboptimal nonlinear predictive control based on multivariable neural Hammerstein models.
Appl. Intell., 2010

Nonlinear predictive control based on neural multi-models.
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

Testing Fault Robustness of Model Predictive Control Algorithms.
Proceedings of the Architecting Critical Systems, First International Symposium, 2010

Neural Dynamic Matrix Control Algorithm with Disturbance Compensation.
Proceedings of the Trends in Applied Intelligent Systems, 2010

Approximate Neural Economic Set-Point Optimisation for Control Systems.
Proceedings of the Artifical Intelligence and Soft Computing, 2010

Dynamic Matrix Control Algorithm Based on Interpolated Step Response Neural Models.
Proceedings of the Artifical Intelligence and Soft Computing, 2010

2009
Neural Networks in Model Predictive Control.
Proceedings of the Natural Intelligence for Scheduling, Planning and Packing Problems, 2009

Efficient Nonlinear Predictive Control Based on Structured Neural Models.
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

On improving dependability of the numerical GPC algorithm.
Proceedings of the 10th European Control Conference, 2009

2008
Suboptimal Nonlinear Predictive Control with MIMO Neural Hammerstein Models.
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

Dependability Comparison of Explicit and Numerical GPC Algorithms.
Proceedings of the Technological Developments in Education and Automation, 2008

Suboptimal Nonlinear Predictive Control Based on Neural Wiener Models.
Proceedings of the Artificial Intelligence: Methodology, 2008

Optimising Predictive Control Based on Neural Models.
Proceedings of the Artificial Intelligence: Methodology, 2008

2007
A Family of Model Predictive Control Algorithms With Artificial Neural Networks.
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

Suboptimal Nonlinear Predictive Control with Structured Neural Models.
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


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