Note: This content is accessible to all versions of every browser. However, this browser does not seem to support current Web standards, preventing the display of our site's design details.

  

Experimental Testing of an Adaptive Model Predictive Controller on a Quad-Tank System

Author(s):

M. Tanaskovic, L. Minnetian, L. Fagiano, M. Morari
Conference/Journal:

European Control Conference (ECC), Strasbourg, France, no. 2014, pp. 504-509
Abstract:

A recently proposed adaptive model predictive control algorithm is implemented in real time and its performance is verified experimentally on a quad-tank testbed. The algorithm relies on an iterative set membership identification procedure in order to provide a set of possible plant models at each time step. This set is then exploited by the model predictive controller in order to robustly enforce output constraints. The experimental results show that the algorithm provides good reference tracking performance while robustly satisfying output constraints for different operating conditions.

Year:

2014
Type of Publication:

(01)Article
Supervisor:



File Download:

Request a copy of this publication.
(Uses JavaScript)
% Autogenerated BibTeX entry
@InProceedings { TanEtal:2014:IFA_4787,
    author={M. Tanaskovic and L. Minnetian and L. Fagiano and M. Morari},
    title={{Experimental Testing of an Adaptive Model Predictive
	  Controller on a Quad-Tank System}},
    booktitle={European Control Conference (ECC)},
    pages={504--509},
    year={2014},
    address={Strasbourg, France},
    month=jun,
    url={http://control.ee.ethz.ch/index.cgi?page=publications;action=details;id=4787}
}
Permanent link