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Ph.D.
FIT, UPGM – vědecký pracovník
+420 54114 1476inovak@fit.vut.cz
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2024
NOVÁK, J.; CHUDÝ, P. Dynamic Soaring in Uncertain Wind Conditions: Polynomial Chaos Expansion Approach. In Machine Learning, Optimization, and Data Science. Lecture Notes in Computer Science. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Grasmere: Springer Nature Switzerland AG, 2024. s. 104-115. ISBN: 978-3-031-53968-8. ISSN: 0302-9743.Detail
NOVÁK, J.; CHUDÝ, P.; HANÁK, J. Weight-varying Model Predictive Control for Coupled Cyber-Physical Systems: Aerial Grasping Study. Machine Learning, Optimization, and Data Science. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Castiglione della Pescaia: 2024. s. 1-15. Detail
NOVÁK, J.; HANÁK, J.; CHUDÝ, P. Hybrid Modeling Approach for Optimization Based Control of Multirotor Unmanned Aerial Vehicles. 34th Congress of the International Council of the Aeronautical Sciences, ICAS 2024. ICAS Proceedings. Florence: International Council of the Aeronautical Sciences, 2024. s. 1-10. ISSN: 2958-4647.Detail
NOVÁK, J.; HANÁK, J.; CHUDÝ, P. Predictive Control Driven Tactical Maneuvering. 34th Congress of the International Council of the Aeronautical Sciences, ICAS 2024. ICAS Proceedings. Florence: International Council of the Aeronautical Sciences, 2024. s. 1-12. ISSN: 2958-4647.Detail
2023
NOVÁK, J.; CHUDÝ, P. Surrogate Modeling of Optimal Control Based Collision Avoidance System for Multirotor Unmanned Aerial Vehicles. In AIAA/IEEE Digital Avionics Systems Conference - Proceedings. Barcelona: Institute of Electrical and Electronics Engineers, 2023. s. 1-7. ISBN: 979-8-3503-3357-2. ISSN: 2155-7195.Detail | WWW
2022
KAŠPÁREK, T.; NOVÁK, J. From hyperspectral data processing to pulsar navigation - Aeroworks research group. Praha: 2022. s. 0-0. Detail | WWW
NOVÁK, J.; CHUDÝ, P. Unmanned Aerial Vehicle's Trajectory Optimization in Constrained Environments. In 33rd Congress of the International Council of the Aeronautical Sciences, ICAS 2022. ICAS Proceedings. Stockholm: International Council of the Aeronautical Sciences, 2022. s. 5682-5696. ISBN: 978-1-7138-7116-3. ISSN: 2958-4647.Detail | WWW
*) Citace publikací se generují jednou za 24 hodin.