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    Adaptive Control of Evolving Gossamer Structures 

    Yang, Bong-Jun; Calise, Anthony J.; Craig, James I.; Whorton, Mark S. (Georgia Institute of Technology, 2006-08)
    A solar sail is an example of a gossamer structure that is proposed as an propulsion system for future space missions. Since it is a large scale flexible structure that requires a long time for its deployment, active ...
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    Vortex Model Based Adaptive Flight Control Using Synthetic Jets 

    Muse, Jonathan A.; Tchieu, Andrew A.; Kutay, Ali T.; Chaundramohan, Rajeev; Leonard, Anthony (Georgia Institute of Technology, 2009-08)
    A simple low-order model is derived for developing flight control laws for controlling the longitudinal dynamics of an aircraft using synthetic jet type actuators. Bi-directional changes in the pitching moment over a ...
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    Flight Results of Autonomous Fixed-Wing UAV Transitions to and from Stationary Hover 

    Johnson, Eric N.; Turbe, Michael A.; Wu, Allen D.; Kannan, Suresh K.; Neidhoefer, James C. (Georgia Institute of Technology, 2006-08)
    Fixed-wing unmanned aerial vehicles (UAVs) with the ability to hover have significant potential for applications in urban or other constrained environments where the combination of fast speed, endurance, and stable ...
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    Adaptive Control for a Microgravity Vibration Isolation System 

    Yang, Bong-Jun; Calise, Anthony J.; Craig, James I.; Whorton, Mark S. (Georgia Institute of Technology, 2005)
    Most active vibration isolation systems that try to a provide quiescent acceleration environment for space-science experiments have utilized linear design methods. In this report, we address adaptive control augmentation of ...
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    Adaptive Neural Network Flight Control Using both Current and Recorded Data 

    Chowdhary, Girish; Johnson, Eric N. (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 ...
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    Flight-Test Results of Autonomous Airplane Transitions Between Steady-Level and Hovering Flight 

    Johnson, Eric N.; Wu, Allen D.; Neidhoefer, James C.; Kannan, Suresh K.; Turbe, Michael A. (Georgia Institute of Technology, 2008-03)
    Linear systems can be used to adequately model and control an aircraft in either ideal steady-level flight or in ideal hovering flight. However, constructing a single unified system capable of adequately modeling or ...
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    6-DOF Nonlinear Simulation of Vision-based Formation Flight 

    Sattigeri, Ramachandra J.; Calise, Anthony J.; Kim, Byoung Soo; Volyanskyy, Konstantin; Kim, Nakwan (Georgia Institute of Technology, 2005-08)
    This paper presents an adaptive guidance and control law algorithm for implementation on a pair of Unmanned Aerial Vehicles (UAVs) in a 6 DOF leader-follower formation flight simulation. The objective of the simulation ...
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    Modeling, Control, and Flight Testing of a Small Ducted Fan Aircraft 

    Johnson, Eric N.; Turbe, Michael A. (Georgia Institute of Technology, 2006-07)
    Small ducted fan autonomous vehicles have potential for several applications, especially for missions in urban environments. This paper discusses the use of dynamic inversion with neural network adaptation to provide an ...
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    Limited Authority Adaptive Flight Control for Reusable Launch Vehicles 

    Johnson, Eric N.; Calise, Anthony J. (Georgia Institute of Technology, 2003-11)
    In the application of adaptive flight control, significant issues arise due to limitations in the plant inputs, such as actuator displacement limits, actuator rate limits, linear input dynamics, and time delay. A method ...
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    Adaptive Trajectory Control for Autonomous Helicopters 

    Johnson, Eric N.; Kannan, Suresh K. (Georgia Institute of Technology, 2005)
    For autonomous helicopter flight, it is common to separate the flight control problem into an inner loop that controls attitude and an outer loop that controls the translational trajectory of the helicopter. In previous ...
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    AuthorCalise, Anthony J. (14)Johnson, Eric N. (7)Sattigeri, Ramachandra J. (7)Kim, Byoung Soo (4)Yang, Bong-Jun (4)Craig, James I. (3)Evers, Johnny H. (3)Kannan, Suresh K. (3)Turbe, Michael A. (3)Neidhoefer, James C. (2)... View MoreSubject
    Adaptive control (20)
    Formation flight (6)Neural network (5)Flight test results (3)Integrated guidance and control (3)Obstacle avoidance (3)Unmanned aerial vehicles (3)Autonomous (2)Decentralized control (2)Guidance (2)... View MoreDate Issued2006 (5)2005 (4)2003 (3)2007 (3)2004 (2)2009 (2)2008 (1)Has File(s)Yes (20)
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