Bartosz Puchalski - researchr alias

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Viewing Publication 1 - 8 from 8

2023

Fault detection and diagnostics of complex dynamic systems using Gaussian Process Models - nuclear power plant case studyBartosz Puchalski. saga 2023: 286-291 [doi]

2022

An automatic selection of optimal recurrent neural network architecture for processes dynamics modelling purposesKrzysztof Laddach, Rafal Langowski, Tomasz A. Rutkowski, Bartosz Puchalski. asc, 116:108375, 2022. [doi]

Recurrent Neural Network Based Adaptive Variable-Order Fractional PID Controller for Small Modular Reactor Thermal Power ControlBartosz Puchalski, Tomasz Adam Rutkowski, Jaroslaw Tarnawski, Tomasz Karla. dps 2023: 202-214 [doi]

Neural Approximators for Variable-Order Fractional Calculus Operators (VO-FC)Bartosz Puchalski. access, 10:7989-8004, 2022. [doi]

2020

Approximation of Fractional Order Dynamic Systems Using Elman, GRU and LSTM Neural NetworksBartosz Puchalski, Tomasz A. Rutkowski. icaisc 2020: 215-230 [doi]

2018

Implementation of the FOPID Algorithm in the PLC Controller - PWR Thermal Power Control Case StudyBartosz Puchalski, Tomasz A. Rutkowski, Kazimierz Duzinkiewicz. saga 2018: 229-234 [doi]

2016

Multi-nodal PWR reactor model - Methodology proposition for power distribution coefficients calculationBartosz Puchalski, Tomasz A. Rutkowski, Kazimierz Duzinkiewicz. saga 2016: 385-390 [doi]

2015

Comparison of tuning procedures based on evolutionary algorithm for multi-region fuzzy-logi PID controller for non-linear plantBartosz Puchalski, Tomasz A. Rutkowski, Jaroslaw Tarnawski, Kazimierz Duzinkiewicz. saga 2015: 897-902 [doi]

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