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

A Youla parameter approach to robust constrained linear model predictive control

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

4 Author(s)
Qifeng Cheng ; Dept. of Eng. Sci., Univ. of Oxford, Oxford, UK ; Kouvaritakis, B. ; Cannon, M. ; Rossiter, J.A.

Previous work (Kouvaritakis et al., 1992) proposed the introduction of a Youla parameter into the receding horizon control strategy to enhance the degree of robustness of the closed loop system without affecting the optimality of nominal performance. The idea is clearly appealing and has been investigated further by a number of researchers. Yet to date the application of the idea has only been considered for the case of unconstrained systems, which is surprising given that the presence of constraints is main justification for the use of MPC for linear systems. It is the purpose of the present paper to combine recent results on invariance, feasibility and an augmented and autonomous formulation of the predicted dynamics to derive an effective robust constrained MPC algorithm that takes full advantage of the introduction of a suitable Youla parameter. The efficacy of the proposed algorithm is illustrated by means of a numerical example.

Published in:

Decision and Control, 2009 held jointly with the 2009 28th Chinese Control Conference. CDC/CCC 2009. Proceedings of the 48th IEEE Conference on

Date of Conference:

15-18 Dec. 2009

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.