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Georgia Tech Aerial Robotics Team: 2009 International Aerial Robotics Competition Entry
(Georgia Institute of Technology, 2009-07)
This paper examines the use of low-cost range and target identification sensors on a stable
flying vehicle for suitability in solving the 5th Mission proposed for the 2009 International
Aerial Robotics Competition. The ...
Flight Test Validation of a Neural Network based Long Term Learning Adaptive Flight Controller
(Georgia Institute of Technology, 2009-08)
The purpose of this paper is to present and analyze flight test results of a Long Term
Learning Adaptive Flight Controller implemented on a rotorcraft and a fixed wing
Unmanned Aerial Vehicle. The adaptive control ...
Indoor Navigation for Unmanned Aerial Vehicles
(Georgia Institute of Technology, 2009-08)
The ability for vehicles to navigate unknown environments is critical for autonomous
operation. Mapping of a vehicle's environment and self-localization within that environ-
ment are especially difficult for an Unmanned ...
Real-Time System Identification of a Small Multi-Engine Aircraft
(Georgia Institute of Technology, 2009-08)
In-flight identification of an aircraft's dynamic model can benefit adaptive control
schemes by providing estimates of aerodynamic stability derivatives in real time.
This information is useful when the dynamic model ...
Adaptive Neural Network Flight Control Using both Current and Recorded Data
(Georgia Institute of Technology, 2007-08)
Modern aerospace vehicles are expected to perform beyond their conventional flight
envelopes and exhibit the robustness and adaptability to operate in uncertain environments.
Augmenting proven lower level control algorithms ...