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UID:0-7239@eng.ufl.edu
DTSTART;TZID=America/New_York:20250128T124500
DTEND;TZID=America/New_York:20250128T134500
DTSTAMP:20251201T210443Z
URL:https://www.eng.ufl.edu/news-events/events/mae-seminar-geometric-and-s
 tochastic-nonlinear-observers-estimating-wind-from-aircraft-motion-in-unce
 rtain/
SUMMARY:MAE Seminar - Geometric and Stochastic Nonlinear Observers: Estimat
 ing Wind from Aircraft Motion in Uncertain
DESCRIPTION:MAE Seminar - Geometric and Stochastic Nonlinear Observers: Est
 imating Wind from Aircraft Motion in Uncertain \n\nDear Undergraduate and 
 Graduate Students\, Faculty\, and Staff\,\nYou are invited! UF Department 
 of Mechanical and Aerospace Engineering's Seminar Series\nThis is a perfec
 t opportunity to enjoy some coffee\, cookies\, and captivating talks! Thes
 e sessions feature amazing guest speakers\, from academic trailblazers and
  industry movers to our very own faculty candidates showing off their expe
 rtise and fresh perspectives.\nCome for the treats\, stay for the engaging
  discussions\, and connect with fellow MAE enthusiasts. Everyone is welcom
 e!\n\nJanuary 28\, 2025\, at 12:50pm Location: MAE-A 303\n\nJeremy Hopwood
 \nPh.D. Candidate\nDepartment of Aerospace and Ocean Engineering\nVirginia
  Tech\n\nAbstract\nAssured performance of control laws\, state estimation 
 algorithms\, and dynamic model predictions is crucial for enhancing the sa
 fety and capability of aircraft\, particularly in turbulent and off-nomina
 l conditions. A key component to the expansion of advanced air mobility is
  the ability to indirectly measure wind (without specialized sensors) for 
 assimilation in path planning algorithms\, numerical weather models\, cont
 rol systems\, safety monitoring\, and more. The discussion begins with an 
 overview of model-based wind estimation to motivate the development of a s
 ymmetry-preserving reduced-order observer and its extension to stochastic 
 differential equations. This new theory addresses limitations of prior met
 hods by providing rigorous stability guarantees\, even in uncertain enviro
 nments\, enabling safety-critical wind estimation.\n\nAccurate modeling of
  vehicle dynamics across the full flight envelope is integral to these eff
 orts. The seminar also highlights a new approach to deriving and identifyi
 ng high-fidelity\, compact\, nonlinear flight dynamic models for multiroto
 r aircraft\, facilitating nonlinear control and estimation across a wide r
 ange of flight conditions. Practical implementations and performance evalu
 ations based on flight test data underscore the performance and mathematic
 al guarantees of these methodologies in real-world scenarios. This seminar
  offers insight into cutting-edge techniques for understanding and estimat
 ing aircraft dynamics in challenging environmental and operational conditi
 ons.\n\nBiography\nJeremy Hopwood is a Ph.D. candidate in the Aerospace an
 d Ocean Engineering department at Virginia Tech. As part of the Nonlinear 
 Systems Laboratory\, his research involves nonlinear modeling\, control\, 
 and estimation of aircraft in uncertain environments using geometric and e
 nergy-based techniques. With a particular focus in flight test validation 
 using small UAVs\, he has led collaborative research teams of graduate and
  undergraduate students on projects sponsored by NASA\, the U.S. Air Force
 \, and industry partners. As a Walts fellow\, Martin-Marietta fellow\, and
  Virginia Space Grant Consortium fellow\, his work has earned best paper a
 wards at AIAA and VFS conferences. He is an active student member of the A
 IAA and the IEEE Control Systems Society\, as well as an affiliate of the 
 International Federation of Automatic Control.\n\nMAE Faculty Host: Peter 
 Ifju
CATEGORIES:Seminars
LOCATION:MAE-A Room 303\, 939 Sweetwater Drive\, Gainesville\, FL\, 32611\,
  United States
GEO:29.643814;-82.34865
X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=939 Sweetwater Drive\, Gain
 esville\, FL\, 32611\, United States;X-APPLE-RADIUS=100;X-TITLE=MAE-A Room
  303:geo:29.643814,-82.34865
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