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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 ...
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 ...
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 ...
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 ...
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 ...
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 ...
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 ...
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 ...
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 ...
An Adaptive Vision-based Approach to Decentralized Formation Control
(Georgia Institute of Technology, 2004-08)
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 ...