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6-DOF Nonlinear Simulation of Vision-based Formation Flight
(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 ...
Approaches to Vision-Based Formation Control
(Georgia Institute of Technology, 2004-12)
This paper implements several methods for
performing vision-based formation flight control of multiple
aircraft in the presence of obstacles. No information is
communicated between aircraft, and only passive 2-D ...
Estimation and Guidance Strategies for Vision-based Target Tracking
(Georgia Institute of Technology, 2005-06)
This paper discusses estimation and guidance
strategies for vision-based target tracking. Specific
applications include formation control of multiple unmanned
aerial vehicles (UAVs) and air-to-air refueling. We assume
that ...
Adaptive, Integrated Guidance and Control Design for Line-of-Sight-Based Formation Flight
(Georgia Institute of Technology, 2007-10)
This paper presents an integrated guidance and control design for formation flight using a combination of adaptive
output feedback and backstepping techniques. We formulate the problem as an adaptive output feedback ...
Integration of Adaptive Estimation and Adaptive Control Design for Uncertain Nonlinear Systems
(Georgia Institute of Technology, 2007-08)
This paper presents a method to integrate adaptive estimation and adaptive control
designs for a class of uncertain nonlinear systems having both parametric uncertainties and
unmodeled dynamics. The method is based on ...
Adaptive, Integrated Guidance and Control Design for Line-of-Sight based Formation Flight
(Georgia Institute of Technology, 2006-08)
This paper presents an integrated guidance and control design for formation flight
using a combination of adaptive output feedback and backstepping techniques without an
underlying time-scale separation assumption. We ...
Neural Network Augmented Kalman Filtering in the Presence of Unknown System Inputs
(Georgia Institute of Technology, 2006-08)
We present an approach for augmenting a linear, time-varying Kalman filter with an adaptive neural
network (NN) for the state estimation of systems with linear process models acted upon by unknown inputs.
The application ...
Vision-based Target Tracking with Adaptive Target State Estimator
(Georgia Institute of Technology, 2007-08)
This paper presents an approach to vision-based target tracking with a neural network
(NN) augmented Kalman filter as the adaptive target state estimator. The vision sensor
onboard the follower (tracker) aircraft is a ...
An Adaptive Vision-Based Approach to Decentralized Formation Control
(Georgia Institute of Technology, 2004-12)
In considering the problem of formation control in the deployment of intelligent
munitions, it would be highly desirable, both from a mission and a cost perspective, to limit
the information that is transmitted between ...
An Adaptive Approach to Vision-based Formation Control
(Georgia Institute of Technology, 2003-08)
In considering the problem of formation control in the
deployment of intelligent munitions, it would be
highly desirable, both from a mission and a cost
perspective, to limit the information that is transmitted between ...