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.

  

Using Interpolation to Simplify Explicit Model Predictive Control

Author(s):

J.A. Rossiter, P. Grieder
Conference/Journal:

American Control Conference, Boston, Massachusetts.
Abstract:

Multi parameteric quadratic programming gives a full offline solution to a time varying quadratic programming (QP) problem arising during constrained predictive control. However, coding and implementation of this solution may be more burdensome than simply solving the original QP. This paper presents a two degree of freedom algorithm, which achieves a large decrease in both the online computation and data storage requirements with negligible deterioration of performance. Extensive simulation results are given to back this claim.

Year:

2004
Type of Publication:

(01)Article
Supervisor:



File Download:

Request a copy of this publication.
(Uses JavaScript)
% Autogenerated BibTeX entry
@InProceedings { RosGri:2004:IFA_148,
    author={J.A. Rossiter and P. Grieder},
    title={{Using Interpolation to Simplify Explicit Model Predictive
	  Control}},
    booktitle={American Control Conference},
    pages={},
    year={2004},
    address={Boston, Massachusetts.},
    month=jun,
    url={http://control.ee.ethz.ch/index.cgi?page=publications;action=details;id=148}
}
Permanent link