Scheduled System Maintenance:
Some services will be unavailable Sunday, March 29th through Monday, March 30th. We apologize for the inconvenience.
By Topic

State space stability analysis of unconstrained decentralized model predictive control 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)
Vaccarini, M. ; D.I.I.G.A., Univ. Politecnica delle Marche, Ancona ; Longhi, S. ; Katebi, R.

This paper analyzes stability properties of a decentralized MPC strategy. Assuming that control agents can exchange information with each other only once for every sampling interval, stability conditions on model and controller matrices are derived for the unconstrained case. Stability properties are analyzed either from a local or a global point of view and a comparison between the decentralized and the centralized control is introduced

Published in:

American Control Conference, 2006

Date of Conference:

14-16 June 2006