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Using interpolation to improve efficiency of multiparametric

Author(s):

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

Automatica, vol. 41, issue 4, pp. 637-643
Abstract:

Multi-parameteric quadratic programming (MPQP) 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 shows how interpolation can be used in conjunction with MPQP to achieve 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 and contrast the TWO proposed interpolation schemes.

Year:

2005
Type of Publication:

(01)Article
Supervisor:



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% Autogenerated BibTeX entry
@Article { RosGri:2005:IFA_2198,
    author={J.A. Rossiter and P. Grieder},
    title={{Using interpolation to improve efficiency of
	  multiparametric}},
    journal={Automatica},
    year={2005},
    volume={41, issue 4},
    number={},
    pages={637--643},
    month=apr,
    url={http://control.ee.ethz.ch/index.cgi?page=publications;action=details;id=2198}
}
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