MULTIOBJECTIVE TUNING OF ROBUST GPC CONTROLLERS USING EVOLUTIONARY ALGORITHMS

J. M. Herrero, X. Blasco, M. Martínez, J. Sanchis

2009

Abstract

In this article a procedure to tune robust Generalized Predictive Controllers (GPC) is presented. To tune the controller parameters a multiobjective optimization problem is formulated so the designer can consider conflicting objectives simultaneously without establishing any prior preference. Moreover model uncertainty, represented by a list of possible models, is considered. The multiobjective problem is solved with a specific Evolutionary Algorithm (ev-MOGA). Finally, an application to a non-linear thermal process is presented to illustrate the technique.

References

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Paper Citation


in Harvard Style

M. Herrero J., Blasco X., Martínez M. and Sanchis J. (2009). MULTIOBJECTIVE TUNING OF ROBUST GPC CONTROLLERS USING EVOLUTIONARY ALGORITHMS . In Proceedings of the International Joint Conference on Computational Intelligence - Volume 1: ICEC, (IJCCI 2009) ISBN 978-989-674-014-6, pages 263-268. DOI: 10.5220/0002269102630268


in Bibtex Style

@conference{icec09,
author={J. M. Herrero and X. Blasco and M. Martínez and J. Sanchis},
title={MULTIOBJECTIVE TUNING OF ROBUST GPC CONTROLLERS USING EVOLUTIONARY ALGORITHMS},
booktitle={Proceedings of the International Joint Conference on Computational Intelligence - Volume 1: ICEC, (IJCCI 2009)},
year={2009},
pages={263-268},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002269102630268},
isbn={978-989-674-014-6},
}


in EndNote Style

TY - CONF
JO - Proceedings of the International Joint Conference on Computational Intelligence - Volume 1: ICEC, (IJCCI 2009)
TI - MULTIOBJECTIVE TUNING OF ROBUST GPC CONTROLLERS USING EVOLUTIONARY ALGORITHMS
SN - 978-989-674-014-6
AU - M. Herrero J.
AU - Blasco X.
AU - Martínez M.
AU - Sanchis J.
PY - 2009
SP - 263
EP - 268
DO - 10.5220/0002269102630268