MODEL PREDICTIVE CONTROL FOR DISTRIBUTED PARAMETER SYSTEMS USING RBF NEURAL NETWORKS

Eleni Aggelogiannaki, Haralambos Sarimveis

2005

Abstract

A new approach for the identification and control of distributed parameter systems is presented in this paper. A radial basis neural network is used to model the distribution of the system output variables over space and time. The neural network model is then used for synthesizing a non linear model predictive control configuration. The resulting framework is particular useful for control problems that pose constraints on the controlled variables over space. The proposed scheme is demonstrated through a tubular reactor, where the concentration and the temperature distributions are controlled using the wall temperature as the manipulated variable. The results illustrate the efficiency of the proposed methodology.

Paper Citation

in Harvard Style

Aggelogiannaki E. and Sarimveis H. (2005). MODEL PREDICTIVE CONTROL FOR DISTRIBUTED PARAMETER SYSTEMS USING RBF NEURAL NETWORKS . In Proceedings of the Second International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO, ISBN 972-8865-29-5, pages 19-24. DOI: 10.5220/0001156700190024

in Bibtex Style

@conference{icinco05,
author={Eleni Aggelogiannaki and Haralambos Sarimveis},
title={MODEL PREDICTIVE CONTROL FOR DISTRIBUTED PARAMETER SYSTEMS USING RBF NEURAL NETWORKS},
booktitle={Proceedings of the Second International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO,},
year={2005},
pages={19-24},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001156700190024},
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 - MODEL PREDICTIVE CONTROL FOR DISTRIBUTED PARAMETER SYSTEMS USING RBF NEURAL NETWORKS
SN - 972-8865-29-5
AU - Aggelogiannaki E.
AU - Sarimveis H.
PY - 2005
SP - 19
EP - 24
DO - 10.5220/0001156700190024