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

Robust constrained model predictive control for nonlinear systems: a comparative study

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)
Kothare, M.V. ; Dept. of Chem. Eng., California Inst. of Technol., Pasadena, CA, USA ; Nevistic, V. ; Morari, M.

We compare two approaches to controlling nonlinear systems using model predictive control (MPC) techniques. In the first approach, we use an inner feedback loop to linearize the nonlinear plant and use the resulting linear model to synthesize a controller strategy based on standard MPC techniques. The nonlinear constraints resulting from the feedback linearization are handled using an iterative method. In the second approach, we approximate the nonlinear system by a linear time-varying system and design a stabilizing receding horizon state-feedback control law using optimization techniques based on linear matrix inequalities

Published in:

Decision and Control, 1995., Proceedings of the 34th IEEE Conference on  (Volume:3 )

Date of Conference:

13-15 Dec 1995

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.