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

Dynamic programming for stochastic control of discrete systems

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

3 Author(s)
Meier, L., III ; Systems Control, Inc., Palo Alto, CA ; Larson, R. ; Tether, A.

This paper treats the general discrete-time linear quadratic stochastic control problem. This problem is solved in two steps. Dynamic programming is used to obtain a solution to the stochastic control problem in which perfect measurements of the state are available. Then the stochastic control problem in which only noisy measurements of a linear operator on the state are available is converted into a new stochastic control problem in which perfect measurements of the state are available. This conversion is based upon Kalman filter theory and is valid whenever the disturbances and measurement noises are Gaussian.

Published in:

Automatic Control, IEEE Transactions on  (Volume:16 ,  Issue: 6 )

Date of Publication:

Dec 1971

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.