By Topic

A constrained model-based predictive control algorithm and its applications

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 $31
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)
Soufian, M. ; Manchester Metropolitan Univ., UK ; Sandoz, D.J. ; Wynne, R.J.

This paper considers the direct computation of constrained model-based predictive controllers using dynamic programming. Process constraints (absolute and incremental limits on process actuation and measured variables) are formulated as linear inequalities in the constrained optimisation problem. Efficient methods have been developed for fast computation of the optimal control decisions. The application of the constrained controller to a real-time simulation of a BTX (benzene, toluene and xylene) separation process and a process involving nonlinearities is described.

Published in:

Control, 1994. Control '94. International Conference on  (Volume:1 )

Date of Conference:

21-24 March 1994