Frederick G. Harmon
Affiliations: | Aeronautics & Astronautics (ENY) | Air Force Institute of Technology |
Area:
Aerospace EngineeringGoogle:
"Frederick Harmon"Bio:
https://books.google.com/books?id=ZKQvAQAAIAAJ
http://handle.dtic.mil/100.2/ADA433531
Parents
Sign in to add mentorAndrew Alfonso Frank | grad student | 2005 | UC Davis (E-Tree) | |
(Neural network control of a parallel hybrid -electric propulsion system for a small unmanned aerial vehicle.) |
Children
Sign in to add traineeGerald C. Cottrill | grad student | 2012 | Air Force Institute of Technology |
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Publications
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Ross SM, Cobb RG, Baker WP, et al. (2015) Implementation lessons and pitfalls for real-time optimal control with stochastic systems Optimal Control Applications and Methods. 36: 198-217 |
Ausserer JK, Harmon FG. (2012) Integration, validation, and testing of a hybrid-electric propulsion system for a small remotely-piloted aircraft 10th Annual International Energy Conversion Engineering Conference, Iecec 2012 |
Greiser CM, Mengistu IH, Rotramel TA, et al. (2011) Testing of a parallel hybrid-electric propulsion system for use in a small remotely-piloted aircraft 9th Annual International Energy Conversion Engineering Conference, Iecec 2011 |
Hiserote RM, Harmon FG. (2010) Analysis of hybrid-electric propulsion system designs for small unmanned aircraft systems 8th Annual International Energy Conversion Engineering Conference |
Hrad PM, Harmon FG. (2010) Conceptual design tool for Micro Air Vehicles with hybrid power systems 8th Annual International Energy Conversion Engineering Conference |
Harmon FG, Frank AA, Chattot JJ. (2006) Conceptual design and simulation of a small hybrid-electric unmanned aerial vehicle Journal of Aircraft. 43: 1490-1498 |
Harmon FG, Frank AA, Joshi SS. (2005) The control of a parallel hybrid-electric propulsion system for a small unmanned aerial vehicle using a CMAC neural network. Neural Networks : the Official Journal of the International Neural Network Society. 18: 772-80 |
Harmon FG, Frank AA, Joshi SS. (2005) Application of a CMAC neural network to the control of a parallel hybrid-electric propulsion system for a small unmanned aerial vehicle Proceedings of the International Joint Conference On Neural Networks. 1: 355-360 |