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.

  

Output End-Point Weighted Generalized Predictive Control - A Polynomial Approach

Author(s):

E. Wolfram, M. Morari
Conference/Journal:

vol. AUT99-15
Abstract:

A new Generalized Predictive Control algorithm is presented, which makes use of the concept of output end-point weightings. The aim of the algorithm is a reduced computational burden with respect to the state End-point Weighted Generalized Predictive Control (EWGPC) and a relaxation of the infinite output weighting of Constrained Receding Horizon Predictive Control (CRHPC). The new Output end-point Weighted Generalized Predictive Control (OWGPC) algorithm is developed using the polynomial approach. After a proof of nominal stability the relation of Kalman filtering and predictive control is derived. A final simulation of a benchmark example emphasizes the reduced computational burden and the enhanced stochastic tracking capability.

Year:

1999
Type of Publication:

(04)Technical Report
Supervisor:



No Files for download available.
% Autogenerated BibTeX entry
@TechReport { WolMor:1999:IFA_1439,
    author={E. Wolfram and M. Morari},
    title={{Output End-Point Weighted Generalized Predictive Control -
	  A Polynomial Approach}},
    institution={},
    year={1999},
    number={},
    address={},
    url={http://control.ee.ethz.ch/index.cgi?page=publications;action=details;id=1439}
}
Permanent link