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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 ...
Real-Time Vision-Based Relative Aircraft Navigation
(Georgia Institute of Technology, 2007-03)
This paper describes two vision-based techniques for the navigation of an aircraft relative
to an airborne target using only information from a single camera fixed to the aircraft. These
techniques are motivated by ...
Adaptive Output Feedback Control of a Flexible Base Manipulator
(Georgia Institute of Technology, 2007-07)
This paper considers augmentation of an existing inertial damping mechanism by neural network-based adaptive
control, for controlling a micromanipulator that is serially attached to a macromanipulator. The approach ...
Augmenting Adaptive Approach to Control of Flexible Systems
(Georgia Institute of Technology, 2004)
This paper describes an approach for augmenting a linear controller design with a neural-network-based adaptive
element. The basic approach involves formulating an architecture for which the associated error equations
have ...
Limited Authority Adaptive Flight Control for Reusable Launch Vehicles
(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 ...
Neural-Network Augmentation of Existing Linear Controllers
(Georgia Institute of Technology, 2005-01)
A method to augment existing linear controllers with a multilayer neural network is presented. The neural
network is adapted online to ensure desired closed-loop response in the face of parametric plant uncertainty; ...
Adaptive Guidance and Control for Hypersonic Vehicles
(Georgia Institute of Technology, 2006-05)
Guidance and control technology is recognized as an important aspect of the military, civil, and commercial
goal of reliable, low-cost, aircraft-type operations into space. Here, several guidance and control methods ...
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 ...