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Gregory Moszczynski
Gregory Moszczynski
PhD Student, University of Toronto Institute for Aerospace Studies
Verified email at mail.utoronto.ca
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Cited by
Year
Robust aerodynamic model identification: A new method for aircraft system identification in the presence of general dynamic model deficiencies
GJ Moszczynski, JM Leung, PR Grant
AIAA Scitech 2019 Forum, 0433, 2019
62019
Post-stall Flight Model Fidelity Effects on Full Stall Recovery Training
PR Grant, GJ Moszczynski, JA Schroeder
2018 Modeling and Simulation Technologies Conference, 2937, 2018
52018
Adaptive state estimation for flight path reconstruction and aircraft system identification
GJ Moszczynski, PR Grant
AIAA Atmospheric Flight Mechanics Conference, 3893, 2017
52017
A State Estimation Approach for High Angle-of-Attack Parameter Estimation from Certification Flight Data
JM Leung, GJ Moszczynski, PR Grant
AIAA Scitech 2019 Forum, 0013, 2019
32019
Development of Post-stall Flight Models from Certification Flight Test and Wind-tunnel Data
PR Grant, Z Luo, SF Liu, GJ Moszczynski
AIAA Modeling and Simulation Technologies Conference, 1549, 2017
22017
Parameter Estimation for Extending Flight Models into Post-Stall Regime-Invited
SF Liu, Z Luo, G Moszczynski, PR Grant
AIAA Atmospheric Flight Mechanics Conference, 1039, 2016
22016
An observability based approach to flight path reconstruction of uninformative coupled aircraft trajectories: A case study considering stall maneuvers for aircraft certification
GJ Moszczynski, M Giamou, JM Leung, J Kelly, PR Grant
AIAA Scitech 2019 Forum, 0012, 2019
12019
Robust Air Data Reconstruction: On the Use Of Robust Cost Functions For Flight Path Reconstruction Applications
GJ Moszczynski, V Peretroukhin, PR Grant
2018 AIAA Atmospheric Flight Mechanics Conference, 0771, 2018
12018
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