By Topic

Fault-tolerant 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
$33 $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)
E. F. Camacho ; Escuela Superior de Ingenieros, Univ. of Seville, Camino de los Descubrimientos s/n, 41092, Spain ; T. Alamo ; D. Muñoz de la Peña

Model predictive control (MPC) has developed considerably in the last decades both in industry and in academia. This success is due to the fact that MPC is perhaps the most general way of posing the control problem in the time domain. One of the main advantages of MPC is that model uncertainties can be taken explicitly into account and this allows for the consideration of faulty process behavior. The receding control strategy used in MPC can be extended to the case of system identification by parameter bounding and furthermore to determine if a model is consistent with the obtained data in a receding horizon manner and this implicitly allows for fault detection. The paper shows how concepts arising from the fault detection and fault-tolerant design methods can be incorporated in an MPC framework and the advantages that can be gained by using MPC in this context.

Published in:

Emerging Technologies and Factory Automation (ETFA), 2010 IEEE Conference on

Date of Conference:

13-16 Sept. 2010