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Andrzej Przybyl
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2020 – today
- 2021
- [j6]Piotr Dziwiñski, Andrzej Przybyl, Pawel Trippner, Józef Paszkowski, Yoichi Hayashi:
Hardware Implementation of a Takagi-Sugeno Neuro-Fuzzy System Optimized by a Population Algorithm. J. Artif. Intell. Soft Comput. Res. 11(3): 243-266 (2021)
2010 – 2019
- 2018
- [j5]Krzysztof Cpalka, Krystian Lapa, Andrzej Przybyl:
Genetic Programming Algorithm for Designing of Control Systems. Inf. Technol. Control. 47(4): 668-683 (2018) - [c19]Krystian Lapa, Krzysztof Cpalka, Andrzej Przybyl, Konrad Grzanek:
Negative Space-Based Population Initialization Algorithm (NSPIA). ICAISC (1) 2018: 449-461 - 2017
- [c18]Krystian Lapa, Krzysztof Cpalka, Andrzej Przybyl, Takamichi Saito:
Fuzzy PID Controllers with FIR Filtering and a Method for Their Construction. ICAISC (2) 2017: 292-307 - [c17]Andrzej Przybyl, Meng Joo Er:
A Method for Design of Hardware Emulators for a Distributed Network Environment. ICAISC (2) 2017: 318-336 - 2016
- [j4]Lukasz Bartczuk, Andrzej Przybyl, Krzysztof Cpalka:
A New Approach to Nonlinear Modelling of Dynamic Systems Based on Fuzzy Rules. Int. J. Appl. Math. Comput. Sci. 26(3): 603-621 (2016) - [c16]Andrzej Przybyl, Meng Joo Er:
The Method of Hardware Implementation of Fuzzy Systems on FPGA. ICAISC (1) 2016: 284-298 - [c15]Andrzej Przybyl, Krystian Lapa, Jacek Szczypta, Lipo Wang:
The Method of the Evolutionary Designing the Elastic Controller Structure. ICAISC (1) 2016: 476-492 - [c14]Andrzej Przybyl, Meng Joo Er:
A New Approach to Designing of Intelligent Emulators Working in a Distributed Environment. ICAISC (2) 2016: 546-558 - 2015
- [j3]Krzysztof Cpalka, Krystian Lapa, Andrzej Przybyl:
A new approach to design of control systems using genetic programming. Inf. Technol. Control. 44(4): 433-442 (2015) - [c13]Andrzej Przybyl, Jacek Szczypta, Lipo Wang:
Optimization of Controller Structure Using Evolutionary Algorithm. ICAISC 2015: 261-271 - [c12]Lukasz Bartczuk, Andrzej Przybyl, Petia D. Koprinkova-Hristova:
New Method for Non-linear Correction Modelling of Dynamic Objects with Genetic Programming. ICAISC 2015: 318-329 - 2014
- [j2]Krzysztof Cpalka, Krystian Lapa, Andrzej Przybyl, Marcin Zalasinski:
A new method for designing neuro-fuzzy systems for nonlinear modelling with interpretability aspects. Neurocomputing 135: 203-217 (2014) - [c11]Lukasz Bartczuk, Andrzej Przybyl, Petia D. Koprinkova-Hristova:
New Method for Nonlinear Fuzzy Correction Modelling of Dynamic Objects. ICAISC (1) 2014: 169-180 - [c10]Andrzej Przybyl, Meng Joo Er:
The Idea for the Integration of Neuro-Fuzzy Hardware Emulators with Real-Time Network. ICAISC (1) 2014: 279-294 - [c9]Piotr Dziwiñski, Lukasz Bartczuk, Andrzej Przybyl, Eduard D. Avedyan:
A New Algorithm for Identification of Significant Operating Points Using Swarm Intelligence. ICAISC (2) 2014: 349-362 - [c8]Jacek Szczypta, Andrzej Przybyl, Lipo Wang:
Evolutionary Approach with Multiple Quality Criteria for Controller Design. ICAISC (1) 2014: 455-467 - 2013
- [c7]Jacek Szczypta, Andrzej Przybyl, Krzysztof Cpalka:
Some Aspects of Evolutionary Designing Optimal Controllers. ICAISC (2) 2013: 91-100 - [c6]Lukasz Bartczuk, Andrzej Przybyl, Piotr Dziwiñski:
Hybrid State Variables - Fuzzy Logic Modelling of Nonlinear Objects. ICAISC (1) 2013: 227-234 - [c5]Krystian Lapa, Andrzej Przybyl, Krzysztof Cpalka:
A New Approach to Designing Interpretable Models of Dynamic Systems. ICAISC (2) 2013: 523-534 - 2012
- [j1]Leszek Rutkowski, Andrzej Przybyl, Krzysztof Cpalka:
Novel Online Speed Profile Generation for Industrial Machine Tool Based on Flexible Neuro-Fuzzy Approximation. IEEE Trans. Ind. Electron. 59(2): 1238-1247 (2012) - [c4]Andrzej Przybyl, Krzysztof Cpalka:
A New Method to Construct of Interpretable Models of Dynamic Systems. ICAISC (2) 2012: 697-705 - 2010
- [c3]Leszek Rutkowski, Andrzej Przybyl, Krzysztof Cpalka, Meng Joo Er:
Online Speed Profile Generation for Industrial Machine Tool Based on Neuro-fuzzy Approach. ICAISC (2) 2010: 645-650
2000 – 2009
- 2008
- [c2]Jerzy Jelonkiewicz, Andrzej Przybyl:
Accuracy Improvement of Neural Network State Variable Estimator in Induction Motor Drive. ICAISC 2008: 71-77 - 2004
- [c1]Jerzy Jelonkiewicz, Andrzej Przybyl:
Influence of the Training Set Selection on the Performance of the Neural Network State Variables Estimators in the Induction Motor. ICAISC 2004: 966-971
Coauthor Index
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