| FPGA-Based Optimization of Industrial Numerical Machine Tool Servo Drives A Przybył Electronics 12 (17), 3585, 2023 | 1 | 2023 |
| Fixed-point arithmetic unit with a scaling mechanism for FPGA-based embedded systems A Przybył Electronics 10 (10), 1164, 2021 | 9 | 2021 |
| HARDWARE IMPLEMENTATION OF A TAKAGI-SUGENO NEURO-FUZZY SYSTEM OPTIMIZED BY A POPULATION ALGORITHM P Dziwinski, A Przybył, P Trippner, J Paszkowski, Y Hayashi Journal of Artificial Intelligence and Soft Computing Research 11 (3), 243 - 266, 2021 | 15 | 2021 |
| Genetic programming algorithm for designing of control systems K Cpalka, K Łapa, A Przybył Information Technology and Control 47 (4), 668-683, 2018 | 21 | 2018 |
| Negative space-based population initialization algorithm (NSPIA) K Łapa, K Cpałka, A Przybył, K Grzanek Artificial Intelligence and Soft Computing: 17th International Conference …, 2018 | 10 | 2018 |
| Hard real-time communication solution for mechatronic systems A Przybył Robotics and Computer-Integrated Manufacturing 49, 309-316, 2018 | 11 | 2018 |
| A method for design of hardware emulators for a distributed network environment A Przybył, MJ Er Artificial Intelligence and Soft Computing: 16th International Conference …, 2017 | 1 | 2017 |
| Fuzzy PID controllers with FIR filtering and a method for their construction K Łapa, K Cpałka, A Przybył, T Saito Artificial Intelligence and Soft Computing: 16th International Conference …, 2017 | 5 | 2017 |
| Method of evolutionary designing of FPGA-based controllers A Przybył, J Szczypta Przegląd Elektrotechniczny 92 (7), 174-179, 2016 | 6 | 2016 |
| A new approach to nonlinear modelling of dynamic systems based on fuzzy rules Ł Bartczuk, A Przybył, K Cpałka International Journal of Applied Mathematics and Computer Science 26 (3), 2016 | 52 | 2016 |
| The method of the evolutionary designing the elastic controller structure A Przybył, K Łapa, J Szczypta, L Wang Artificial Intelligence and Soft Computing: 15th International Conference …, 2016 | 4 | 2016 |
| A new approach to designing of intelligent emulators working in a distributed environment A Przybył, MJ Er Artificial Intelligence and Soft Computing: 15th International Conference …, 2016 | 6 | 2016 |
| The method of hardware implementation of fuzzy systems on FPGA A Przybył, MJ Er Artificial Intelligence and Soft Computing: 15th International Conference …, 2016 | 14 | 2016 |
| A new approach to design of control systems using genetic programming K Cpalka, K Łapa, A Przybył Information technology and control 44 (4), 433-442, 2015 | 45 | 2015 |
| New method for non-linear correction modelling of dynamic objects with genetic programming Ł Bartczuk, A Przybył, P Koprinkova-Hristova Artificial Intelligence and Soft Computing: 14th International Conference …, 2015 | 9 | 2015 |
| Optimization of controller structure using evolutionary algorithm A Przybył, J Szczypta, L Wang Artificial Intelligence and Soft Computing: 14th International Conference …, 2015 | 4 | 2015 |
| A new method for designing neuro-fuzzy systems for nonlinear modelling with interpretability aspects K Cpałka, K Łapa, A Przybył, M Zalasiński Neurocomputing 135, 203-217, 2014 | 83 | 2014 |
| The idea for the integration of neuro-fuzzy hardware emulators with real-time network A Przybył, MJ Er International Conference on Artificial Intelligence and Soft Computing, 279-294, 2014 | 12 | 2014 |
| New method for nonlinear fuzzy correction modelling of dynamic objects Ł Bartczuk, A Przybył, P Koprinkova-Hristova Artificial Intelligence and Soft Computing: 13th International Conference …, 2014 | 26 | 2014 |
| A new algorithm for identification of significant operating points using swarm intelligence P Dziwiński, Ł Bartczuk, A Przybył, ED Avedyan Artificial Intelligence and Soft Computing: 13th International Conference …, 2014 | 33 | 2014 |
Krzysztof CpałkaCzestochowa University of Technology, PolandVerified email at pcz.pl