Krzysztof Zarzycki

According to our database, Krzysztof Zarzycki authored at least 12 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

Efficient Cyberattack Detection Methods in Industrial Control Systems.

Piotr M. Marusak, Robert Nebeluk, Andrzej Wojtulewicz, Krzysztof Cabaj, Patryk Chaber, Maciej Lawrynczuk, Sebastian Plamowski, Krzysztof Zarzycki

Sensors, June, 2024

Methodology for Conducting a Study of the Vulnerability of PLC Control Algorithms to Cyber Attacks.

Sebastian Plamowski, Robert Nebeluk, Andrzej Wojtulewicz, Krzysztof Cabaj, Patryk Chaber, Maciej Lawrynczuk, Piotr M. Marusak, Krzysztof Zarzycki

IEEE Access, 2024

2023

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

Krzysztof Zarzycki, Maciej Lawrynczuk

Sensors, November, 2023

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

Krzysztof Zarzycki, Patryk Chaber, Krzysztof Cabaj, Maciej Lawrynczuk, Piotr M. Marusak, Robert Nebeluk, Sebastian Plamowski, Andrzej Wojtulewicz

Sensors, August, 2023

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

Krzysztof Zarzycki, Patryk Chaber, Krzysztof Cabaj, Maciej Lawrynczuk, Piotr M. Marusak, Robert Nebeluk, Sebastian Plamowski, Andrzej Wojtulewicz

IEEE Access, 2023

Physics-Informed Hybrid Neural Network Model for MPC: A Fuzzy Approach.

Krzysztof Zarzycki, Maciej Lawrynczuk

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.

Patryk Chaber, Pawel D. Domanski, Daniel Dabrowski, Maciej Lawrynczuk, Robert Nebeluk, Sebastian Plamowski, Krzysztof Zarzycki

Sensors, 2022

Advanced predictive control for GRU and LSTM networks.

Krzysztof Zarzycki, Maciej Lawrynczuk

Inf. Sci., 2022

Fast Nonlinear Model Predictive Control Using LSTM Networks: A Model Linearisation Approach.

Krzysztof Zarzycki, Maciej Lawrynczuk

Proceedings of the 30th Mediterranean Conference on Control and Automation, 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.

Krzysztof Zarzycki, Maciej Lawrynczuk

Sensors, 2021

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

Krzysztof Zarzycki, Maciej Lawrynczuk

Sensors, 2021

2020

Development and Modelling of a Laboratory Ball on Plate Process.

Krzysztof Zarzycki, Maciej Lawrynczuk

Proceedings of the Advanced, Contemporary Control - Proceedings of KKA 2020, 2020