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Rafał Łangowski
Rafał Łangowski
Gdańsk University of Technology, Department of Intelligent Control and Decision Support Systems
Dirección de correo verificada de pg.edu.pl
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Monitoring of chlorine concentration in drinking water distribution systems using an interval estimator
R Łangowski, M Brdys
International Journal of Applied Mathematics and Computer Science 17 (2 …, 2007
452007
An automatic self-tuning control system design for an inverted pendulum
M Waszak, R Łangowski
IEEE Access 8, 26726-26738, 2020
442020
A robust sliding mode observer for non-linear uncertain biochemical systems
M Czyżniewski, R Łangowski
ISA transactions 123, 25-45, 2022
182022
An interval estimator for chlorine monitoring in drinking water distribution systems under uncertain system dynamics, inputs and chlorine concentration measurement errors
R Łangowski, M Brdyś
International Journal of Applied Mathematics and Computer Science 27, 309-322, 2017
162017
An automatic selection of optimal recurrent neural network architecture for processes dynamics modelling purposes
K Laddach, R Łangowski, TA Rutkowski, B Puchalski
Applied Soft Computing 116, 108375, 2022
142022
Optimised robust placement of hard quality sensors for robust monitoring of quality in drinking water distribution systems
R Łangowski, MA Brdys, R Qi
Proceedings of the 10th World Congress on Intelligent Control and Automation …, 2012
132012
A comprehensive approach to double inverted pendulum modelling
KT Andrzejewski, M Czyżniewski, M Zielonka, R Łangowski, T Zubowicz
Archives of Control Sciences 29 (3), 459-483, 2019
112019
An optimised placement of the hard quality sensors for a robust monitoring of the chlorine concentration in drinking water distribution systems
R Łangowski, MA Brdys
Journal of Process Control 68, 52-63, 2018
112018
Respiration rate estimation using non-linear observers in application to wastewater treatment plant
M Czyżniewski, R Łangowski, R Piotrowski
Journal of Process Control 124, 70-82, 2023
72023
Interval Estimator for Chlorine Monitoring in Drinking Water Distribution Systems under Uncertain System Dynamics, Inputs and State Measurement Errors
MA Brdys, R Łangowski
11th IFAC/IFORS/IMACS/IFIP Symposium on Large Scale Systems: Theory and …, 2008
72008
Interval asymptotic estimator for chlorine monitoring in drinking water distribution systems
R Łangowski, MA Brdys
IFAC Proceedings Volumes 39 (14), 35-40, 2006
62006
A case study of robust sliding mode control applied to inverted pendulum on a cart
M Czyżniewski, R Łangowski, D Klassa, M Matwiszyn
2021 25th International Conference on Methods and Models in Automation and …, 2021
52021
Optimised allocation of hard quality sensors for robust monitoring of quality in drinking water distribution systems
R Langowski, MA Brdys
IFAC Proceedings Volumes 43 (8), 286-291, 2010
52010
Zmiana sprzedawcy energii elektrycznej-uwarunkowania rynkowe w Polsce
R Łangowski
Rynek Energii, 3-12, 2016
42016
An observability and detectability analysis for non-linear uncertain CSTR model of biochemical processes
M Czyżniewski, R Łangowski
Scientific Reports 12 (1), 22327, 2022
22022
An Analysis of Observability and Detectability for Different Sets of Measured Outputs–CSTR Case Study
M Czyżniewski, R Łangowski
International Conference on Diagnostics of Processes and Systems, 352-363, 2022
22022
Robust asymptotic super twisting sliding mode observer for non-linear uncertain biochemical systems
M Czyżniewski, R Łangowski
Journal of Process Control 136, 103192, 2024
12024
Neural modelling of dynamic systems with time delays based on an adjusted NEAT algorithm
K Laddach, R Łangowski
International Conference on Diagnostics of Processes and Systems, 328-339, 2022
12022
Estimation of the angular position of a two–wheeled balancing robot using a real IMU with selected filters
K Laddach, R Łangowski, T Zubowicz
Bulletin of the Polish Academy of Sciences: Technical Sciences 70 (2), e140518, 2022
12022
On the problem of optimised allocation of water quality sensors and actuators in DWDS
T Zubowicz, R Łangowski
2021 25th International Conference on Methods and Models in Automation and …, 2021
12021
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