IMPROVED ROBUSTNESS OF MULTIVARIABLE MODEL PREDICTIVE CONTROL UNDER MODEL UNCERTAINTIES

Cristina Stoica, Pedro Rodríguez-Ayerbe, Didier Dumur

2007

Abstract

This paper presents a state-space methodology for enhancing the robustness of multivariable MPC controlled systems through the convex optimization of a multivariable Youla parameter. The procedure starts with the design of an initial stabilizing Model Predictive Controller in the state-space representation, which is then robustified under modeling errors considered as unstructured uncertainties. The resulting robustified MIMO control law is finally applied to the model of a stirred tank reactor to reduce the impact of measurement noise and modelling errors on the system.

Paper Citation

in Harvard Style

Stoica C., Rodríguez-Ayerbe P. and Dumur D. (2007). IMPROVED ROBUSTNESS OF MULTIVARIABLE MODEL PREDICTIVE CONTROL UNDER MODEL UNCERTAINTIES . In Proceedings of the Fourth International Conference on Informatics in Control, Automation and Robotics - Volume 3: ICINCO, ISBN 978-972-8865-84-9, pages 283-288. DOI: 10.5220/0001651002830288

in Bibtex Style

@conference{icinco07,
author={Cristina Stoica and Pedro Rodríguez-Ayerbe and Didier Dumur},
title={IMPROVED ROBUSTNESS OF MULTIVARIABLE MODEL PREDICTIVE CONTROL UNDER MODEL UNCERTAINTIES},
booktitle={Proceedings of the Fourth International Conference on Informatics in Control, Automation and Robotics - Volume 3: ICINCO,},
year={2007},
pages={283-288},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001651002830288},
isbn={978-972-8865-84-9},
}

in EndNote Style

TY - CONF
JO - Proceedings of the Fourth International Conference on Informatics in Control, Automation and Robotics - Volume 3: ICINCO,
TI - IMPROVED ROBUSTNESS OF MULTIVARIABLE MODEL PREDICTIVE CONTROL UNDER MODEL UNCERTAINTIES
SN - 978-972-8865-84-9
AU - Stoica C.
AU - Rodríguez-Ayerbe P.
AU - Dumur D.
PY - 2007
SP - 283
EP - 288
DO - 10.5220/0001651002830288