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.

  

An improved approach for constrained robust Model Predictive Control

Author(s):

F.A. Cuzzola, J.C. Geromel, M. Morari
Conference/Journal:

Automatica, vol. 38, no. 7, pp. 1183-1189
Abstract:

In this paper,we present a new technique to address constrained robust model predictive control .The main advantage of this new approach with respect to other well-known techniques is the reduced conservativeness. Specifically,the technique described in this paper can be applied to polytopic uncertain systems and is based on the use of several Lyapunov functions each one corresponding to a different vertex of the uncertainty’s polytope. Keywords:Model predictive control;State feedback;Linear matrix inequalities

Year:

2002
Type of Publication:

(01)Article
Supervisor:



No Files for download available.
% Autogenerated BibTeX entry
@Article { CuzGer:2002:IFA_797,
    author={F.A. Cuzzola and J.C. Geromel and M. Morari},
    title={{An improved approach for constrained robust Model
	  Predictive Control}},
    journal={Automatica},
    year={2002},
    volume={38},
    number={7},
    pages={1183--1189},
    month=jul,
    url={http://control.ee.ethz.ch/index.cgi?page=publications;action=details;id=797}
}
Permanent link