Influence of the Training Set Selection on the Performance of the Neural Network State Variables Estimators in the Induction Motor. - Jerzy Jelonkiewicz; Andrzej Przybyl (ICAISC, 2004)

Accuracy Improvement of Neural Network State Variable Estimator in Induction Motor Drive. - Jerzy Jelonkiewicz; Andrzej Przybyl (ICAISC, 2008)

Online Speed Profile Generation for Industrial Machine Tool Based on Neuro-fuzzy Approach. - Leszek Rutkowski; Andrzej Przybyl; Krzysztof Cpalka; Meng Joo Er (ICAISC (2), 2010)

A New Method to Construct of Interpretable Models of Dynamic Systems. - Andrzej Przybyl; Krzysztof Cpalka (ICAISC (2), 2012)

Novel Online Speed Profile Generation for Industrial Machine Tool Based on Flexible Neuro-Fuzzy Approximation. - Leszek Rutkowski; Andrzej Przybyl; Krzysztof Cpalka (IEEE Trans. Ind. Electron., 2012)

Hybrid State Variables - Fuzzy Logic Modelling of Nonlinear Objects. - Lukasz Bartczuk; Andrzej Przybyl; Piotr Dziwiñski (ICAISC (1), 2013)

A New Approach to Designing Interpretable Models of Dynamic Systems. - Krystian Lapa; Andrzej Przybyl; Krzysztof Cpalka (ICAISC (2), 2013)

Some Aspects of Evolutionary Designing Optimal Controllers. - Jacek Szczypta; Andrzej Przybyl; Krzysztof Cpalka (ICAISC (2), 2013)

New Method for Nonlinear Fuzzy Correction Modelling of Dynamic Objects. - Lukasz Bartczuk; Andrzej Przybyl; Petia D. Koprinkova-Hristova (ICAISC (1), 2014)

A New Algorithm for Identification of Significant Operating Points Using Swarm Intelligence. - Piotr Dziwiñski; Lukasz Bartczuk; Andrzej Przybyl; Eduard D. Avedyan (ICAISC (2), 2014)

The Idea for the Integration of Neuro-Fuzzy Hardware Emulators with Real-Time Network. - Andrzej Przybyl; Meng Joo Er (ICAISC (1), 2014)

Evolutionary Approach with Multiple Quality Criteria for Controller Design. - Jacek Szczypta; Andrzej Przybyl; Lipo Wang (ICAISC (1), 2014)

A new method for designing neuro-fuzzy systems for nonlinear modelling with interpretability aspects. - Krzysztof Cpalka; Krystian Lapa; Andrzej Przybyl; Marcin Zalasinski (Neurocomputing, 2014)

New Method for Non-linear Correction Modelling of Dynamic Objects with Genetic Programming. - Lukasz Bartczuk; Andrzej Przybyl; Petia D. Koprinkova-Hristova (ICAISC, 2015)

Optimization of Controller Structure Using Evolutionary Algorithm. - Andrzej Przybyl; Jacek Szczypta; Lipo Wang (ICAISC, 2015)

A new approach to design of control systems using genetic programming. - Krzysztof Cpalka; Krystian Lapa; Andrzej Przybyl (Inf. Technol. Control., 2015)

The Method of Hardware Implementation of Fuzzy Systems on FPGA. - Andrzej Przybyl; Meng Joo Er (ICAISC (1), 2016)

A New Approach to Designing of Intelligent Emulators Working in a Distributed Environment. - Andrzej Przybyl; Meng Joo Er (ICAISC (2), 2016)

The Method of the Evolutionary Designing the Elastic Controller Structure. - Andrzej Przybyl; Krystian Lapa; Jacek Szczypta; Lipo Wang (ICAISC (1), 2016)

A New Approach to Nonlinear Modelling of Dynamic Systems Based on Fuzzy Rules. - Lukasz Bartczuk; Andrzej Przybyl; Krzysztof Cpalka (Int. J. Appl. Math. Comput. Sci., 2016)

Fuzzy PID Controllers with FIR Filtering and a Method for Their Construction. - Krystian Lapa; Krzysztof Cpalka; Andrzej Przybyl; Takamichi Saito (ICAISC (2), 2017)

A Method for Design of Hardware Emulators for a Distributed Network Environment. - Andrzej Przybyl; Meng Joo Er (ICAISC (2), 2017)

Negative Space-Based Population Initialization Algorithm (NSPIA). - Krystian Lapa; Krzysztof Cpalka; Andrzej Przybyl; Konrad Grzanek (ICAISC (1), 2018)

Genetic Programming Algorithm for Designing of Control Systems. - Krzysztof Cpalka; Krystian Lapa; Andrzej Przybyl (Inf. Technol. Control., 2018)

Hardware Implementation of a Takagi-Sugeno Neuro-Fuzzy System Optimized by a Population Algorithm. - Piotr Dziwiñski; Andrzej Przybyl; Pawel Trippner; Józef Paszkowski; Yoichi Hayashi (J. Artif. Intell. Soft Comput. Res., 2021)