Robust MPC with Output Feedback of Integrating Systems
Joint Authors
Odloak, Darci
Lima, E. L.
Perez, J. M.
Source
Journal of Control Science and Engineering
Issue
Vol. 2012, Issue 2012 (31 Dec. 2012), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2012-07-15
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Electronic engineering
Information Technology and Computer Science
Abstract EN
In this work, it is presented a new contribution to the design of a robust MPC with output feedback, input constraints, and uncertain model.
Multivariable predictive controllers have been used in industry to reduce the variability of the process output and to allow the operation of the system near to the constraints, where it is usually located the optimum operating point.
For this reason, new controllers have been developed with the objective of achieving better performance, simpler control structure, and robustness with respect to model uncertainty.
In this work, it is proposed a model predictive controller based on a nonminimal state space model where the state is perfectly known.
It is an infinite prediction horizon controller, and it is assumed that there is uncertainty in the stable part of the model, which may also include integrating modes that are frequently present in the process plants.
The method is illustrated with a simulation example of the process industry using linear models based on a real process.
American Psychological Association (APA)
Perez, J. M.& Odloak, Darci& Lima, E. L.. 2012. Robust MPC with Output Feedback of Integrating Systems. Journal of Control Science and Engineering،Vol. 2012, no. 2012, pp.1-10.
https://search.emarefa.net/detail/BIM-458766
Modern Language Association (MLA)
Perez, J. M.…[et al.]. Robust MPC with Output Feedback of Integrating Systems. Journal of Control Science and Engineering No. 2012 (2012), pp.1-10.
https://search.emarefa.net/detail/BIM-458766
American Medical Association (AMA)
Perez, J. M.& Odloak, Darci& Lima, E. L.. Robust MPC with Output Feedback of Integrating Systems. Journal of Control Science and Engineering. 2012. Vol. 2012, no. 2012, pp.1-10.
https://search.emarefa.net/detail/BIM-458766
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-458766