Miroslav Pokorný

Orcid: 0000-0002-6681-0861

Affiliations:
  • Technical University of Ostrava, Czech Republic


According to our database1, Miroslav Pokorný authored at least 13 papers between 1998 and 2022.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

Legend:

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PhD thesis 
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Bibliography

2022
Adaptive Ascent Control of a Collaborative Object Transportation System Using Two Quadrotors.
Sensors, 2022

2020
Intelligent Controller Design by the Artificial Intelligence Methods.
Sensors, 2020

2019
Dynamic Tuning of the Optimal Fuzzy LQR Controller.
Proceedings of the 2019 IEEE International Conference on Systems, Man and Cybernetics, 2019

2015
Conventional controller design based on Takagi-Sugeno fuzzy models.
J. Appl. Log., 2015

2014
System Identification Using Genetic Algorithms.
Proceedings of the Fifth International Conference on Innovations in Bio-Inspired Computing and Applications, 2014

2013
Circadian Rhythm Evaluation Using Fuzzy Logic.
Proceedings of the Advanced Methods for Computational Collective Intelligence, 2013

Fuzzy Linear Regression Analysis.
Proceedings of the 12th IFAC Conference on Programmable Devices and Embedded Systems, 2013

The fuzzy-neuro development system FUZNET.
Proceedings of the 18th International Conference on Methods & Models in Automation & Robotics, 2013

Double Expert System for Monitoring and Re-adaptation of PID Controllers.
Proceedings of the Innovations in Bio-inspired Computing and Applications, 2013

2012
Takagi-Sugeno Fuzzy Model in Task of Controllers Design.
Proceedings of the International Joint Conference CISIS'12-ICEUTE'12-SOCO'12 Special Sessions, 2012

2011
An approach to PLC-based fuzzy control.
Proceedings of the IEEE 6th International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications, 2011

Implementation of fuzzy logic control based on PLC.
Proceedings of the IEEE 16th Conference on Emerging Technologies & Factory Automation, 2011

1998
Parameter identification of the fuzzy clusters membership grade functions.
Proceedings of the IEEE International Conference on Systems, Man and Cybernetics, 1998


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