# GENETIC AND ELLIPSOID ALGORITHMS FOR NONLINEAR PREDICTIVE CONTROL

### Kaouther Laabidi, Faouzi Bouani, Mekki Ksouri

#### Abstract

This paper deals with the constrained predictive control of nonlinear systems. Artificial Neural Networks (ANN) are used as a process model. The control law is derived by minimizing a non convex criterion. The optimization problem is solved using Ellipsoid and genetic algorithms. The structure and operators of the combining two algorithms have been specifically developed for control design problem. Simulation results are presented to illustrate the performances of the proposed predictive controller.

#### References

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#### Paper Citation

#### in Harvard Style

Laabidi K., Bouani F. and Ksouri M. (2005). **GENETIC AND ELLIPSOID ALGORITHMS FOR NONLINEAR PREDICTIVE CONTROL** . In *Proceedings of the Second International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO,* ISBN 972-8865-29-5, pages 288-291. DOI: 10.5220/0001181302880291

#### in Bibtex Style

@conference{icinco05,

author={Kaouther Laabidi and Faouzi Bouani and Mekki Ksouri},

title={GENETIC AND ELLIPSOID ALGORITHMS FOR NONLINEAR PREDICTIVE CONTROL},

booktitle={Proceedings of the Second International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO,},

year={2005},

pages={288-291},

publisher={SciTePress},

organization={INSTICC},

doi={10.5220/0001181302880291},

isbn={972-8865-29-5},

}

#### in EndNote Style

TY - CONF

JO - Proceedings of the Second International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO,

TI - GENETIC AND ELLIPSOID ALGORITHMS FOR NONLINEAR PREDICTIVE CONTROL

SN - 972-8865-29-5

AU - Laabidi K.

AU - Bouani F.

AU - Ksouri M.

PY - 2005

SP - 288

EP - 291

DO - 10.5220/0001181302880291