• Adaptive Neural Network Flight Control Using both Current and Recorded Data 

      Chowdhary, Girish; Johnson, Eric N. (Georgia Institute of TechnologyAmerican Institute of Aeronautics and Astronautics, Inc., 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 ...
    • Adaptive Trajectory Control for Autonomous Helicopters 

      Johnson, Eric N.; Kannan, Suresh K. (Georgia Institute of TechnologyAmerican Institute of Aeronautics and Astronautics, Inc., 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 ...
    • Command Governor-Based Adaptive Control of an Autonomous Helicopter 

      Magree, Daniel; Yucelen, Tansel; Johnson, Eric N. (Georgia Institute of Technology, 2012-08)
      This paper presents an application of a recently developed command governor-based adaptive control framework to a high-fidelity autonomous helicopter model. This framework is based on an adaptive controller, but the ...
    • 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 TechnologyAmerican Institute of Aeronautics and Astronautics, Inc., 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 ...
    • Improving Uniform Ultimate Bounded Response of Neuroadaptive Control Approaches Using Command Governors 

      Magree, Daniel; Yucelen, Tansel; Johnson, Eric N. (Georgia Institute of Technology, 2013-08)
      In this paper, we develop a command governor-based architecture in order to improve the response of neuroadaptive control approaches. Specifically, a command governor is a linear dynamical system that modifies a given ...
    • Modeling, Control, and Flight Testing of a Small Ducted Fan Aircraft 

      Johnson, Eric N.; Turbe, Michael A. (Georgia Institute of TechnologyAmerican Institute of Aeronautics and Astronautics, Inc., 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 ...
    • A Process to Obtain Robustness Metrics for Adaptive Flight Controllers 

      Kimbrell, Scott; Johnson, Eric N.; Chowdhary, Girish; Calise, Anthony J.; Chandramohan, Rajeev (Georgia Institute of TechnologyAmerican Institute of Aeronautics and Astronautics, 2009-08)
      This research effort seeks a process to draw parallels between the classical stability metrics of gain and phase margins for classical linear control systems with stability margins for adaptive controllers. The method ...