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

Robust Constrainned Model Predictive Control for Uncertain Linear Time-Varyilng Systems Using Multitple Lyapunov Functions

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)
Do, T.A.T. ; Dept. of Electr. Eng., Chulalongkorn Univ., Bangkok ; Banjerdpongchai, D.

In this paper, we present a method for synthesizing a robust constrained model predictive control for uncertain time-varying systems. The goal is to design, at each sampling time, a state feedback control law that minimizes an upper bound of the worst-case objective function, subject to constraints of control inputs and plant outputs. The worst case performance is defined as an infinite-horizon quadratic function of states and control inputs. In order to guarantee robust performance, the method uses multiple Lyapunov functions each of which corresponds to a different vertex of the uncertainty polytope. The state feedback design problem is cast as convex optimization involving linear matrix inequalities which can be efficiently solved. The proposed technique yields an improved performance and less conservative than the robust MPC technique using a single Lyapunov function. Numerical examples based on a two-mass-spring system are given to illustrate the effectiveness of the control algorithm

Published in:

SICE-ICASE, 2006. International Joint Conference

Date of Conference:

18-21 Oct. 2006

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.