Andrzej Przybyl

According to our database, Andrzej Przybyl authored at least 25 papers between 2004 and 2021.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2021

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

2018

Genetic Programming Algorithm for Designing of Control Systems.

Krzysztof Cpalka, Krystian Lapa, Andrzej Przybyl

Inf. Technol. Control., 2018

Negative Space-Based Population Initialization Algorithm (NSPIA).

Krystian Lapa, Krzysztof Cpalka, Andrzej Przybyl, Konrad Grzanek

Proceedings of the Artificial Intelligence and Soft Computing, 2018

2017

A Method for Design of Hardware Emulators for a Distributed Network Environment.

Andrzej Przybyl, Meng Joo Er

Proceedings of the Artificial Intelligence and Soft Computing, 2017

Fuzzy PID Controllers with FIR Filtering and a Method for Their Construction.

Krystian Lapa, Krzysztof Cpalka, Andrzej Przybyl, Takamichi Saito

Proceedings of the Artificial Intelligence and Soft Computing, 2017

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

The Method of the Evolutionary Designing the Elastic Controller Structure.

Andrzej Przybyl, Krystian Lapa, Jacek Szczypta, Lipo Wang

Proceedings of the Artificial Intelligence and Soft Computing, 2016

A New Approach to Designing of Intelligent Emulators Working in a Distributed Environment.

Andrzej Przybyl, Meng Joo Er

Proceedings of the Artificial Intelligence and Soft Computing, 2016

The Method of Hardware Implementation of Fuzzy Systems on FPGA.

Andrzej Przybyl, Meng Joo Er

Proceedings of the Artificial Intelligence and Soft Computing, 2016

2015

A new approach to design of control systems using genetic programming.

Krzysztof Cpalka, Krystian Lapa, Andrzej Przybyl

Inf. Technol. Control., 2015

Optimization of Controller Structure Using Evolutionary Algorithm.

Andrzej Przybyl, Jacek Szczypta, Lipo Wang

Proceedings of the Artificial Intelligence and Soft Computing, 2015

New Method for Non-linear Correction Modelling of Dynamic Objects with Genetic Programming.

Lukasz Bartczuk, Andrzej Przybyl, Petia D. Koprinkova-Hristova

Proceedings of the Artificial Intelligence and Soft Computing, 2015

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

Evolutionary Approach with Multiple Quality Criteria for Controller Design.

Jacek Szczypta, Andrzej Przybyl, Lipo Wang

Proceedings of the Artificial Intelligence and Soft Computing, 2014

The Idea for the Integration of Neuro-Fuzzy Hardware Emulators with Real-Time Network.

Andrzej Przybyl, Meng Joo Er

Proceedings of the Artificial Intelligence and Soft Computing, 2014

A New Algorithm for Identification of Significant Operating Points Using Swarm Intelligence.

Piotr Dziwiñski, Lukasz Bartczuk, Andrzej Przybyl, Eduard D. Avedyan

Proceedings of the Artificial Intelligence and Soft Computing, 2014

New Method for Nonlinear Fuzzy Correction Modelling of Dynamic Objects.

Lukasz Bartczuk, Andrzej Przybyl, Petia D. Koprinkova-Hristova

Proceedings of the Artificial Intelligence and Soft Computing, 2014

2013

Some Aspects of Evolutionary Designing Optimal Controllers.

Jacek Szczypta, Andrzej Przybyl, Krzysztof Cpalka

Proceedings of the Artificial Intelligence and Soft Computing, 2013

A New Approach to Designing Interpretable Models of Dynamic Systems.

Krystian Lapa, Andrzej Przybyl, Krzysztof Cpalka

Proceedings of the Artificial Intelligence and Soft Computing, 2013

Hybrid State Variables - Fuzzy Logic Modelling of Nonlinear Objects.

Lukasz Bartczuk, Andrzej Przybyl, Piotr Dziwiñski

Proceedings of the Artificial Intelligence and Soft Computing, 2013

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

A New Method to Construct of Interpretable Models of Dynamic Systems.

Andrzej Przybyl, Krzysztof Cpalka

Proceedings of the Artificial Intelligence and Soft Computing, 2012

2010

Online Speed Profile Generation for Industrial Machine Tool Based on Neuro-fuzzy Approach.

Leszek Rutkowski, Andrzej Przybyl, Krzysztof Cpalka, Meng Joo Er

Proceedings of the Artifical Intelligence and Soft Computing, 2010

2008

Accuracy Improvement of Neural Network State Variable Estimator in Induction Motor Drive.

Jerzy Jelonkiewicz, Andrzej Przybyl

Proceedings of the Artificial Intelligence and Soft Computing, 2008

2004

Influence of the Training Set Selection on the Performance of the Neural Network State Variables Estimators in the Induction Motor.

Jerzy Jelonkiewicz, Andrzej Przybyl

Proceedings of the Artificial Intelligence and Soft Computing, 2004