Cart (Loading....) | Create Account
Close category search window
 

Solutions to Periodic Sensor Scheduling Problems for Formation Flying Missions in Deep Space

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
McLoughlin, T.H. ; GN&C Syst. Div., Charles Stark Draper Lab., Cambridge, MA, USA ; Campbell, M.

A relaxation of the general infinite horizon sensor scheduling problem for state estimation in linear time-invariant systems is presented. The optimal schedule is assumed to be periodic, and the relaxation allows the full problem, a nonlinear combinatorial optimization problem, to be converted to a mixed integer quadratic programming problem which can be easily solved. The relaxation is based on the system being driven by low-intensity process noise. To find the solution the integer constraint is first relaxed to find an initial unconstrained solution using a standard quadratic programming solver. The integer constraint is then satisfied by using established integer- constrained quadratic least-squares techniques and the Hessian of the cost function. Examples illustrate the performance of the algorithm versus the truth solution found by an exhaustive search.

Published in:

Aerospace and Electronic Systems, IEEE Transactions on  (Volume:47 ,  Issue: 2 )

Date of Publication:

April 2011

Need Help?


IEEE Advancing Technology for Humanity About IEEE Xplore | Contact | Help | Terms of Use | Nondiscrimination Policy | Site Map | Privacy & Opting Out of Cookies

A not-for-profit organization, IEEE is the world's largest professional association for the advancement of technology.
© Copyright 2014 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.