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.

  

Model-Varying Predictive Control of a Nonlinear System

Author(s):

C. Pedret, A. Poncet, K.S. Stadler, A. Toller, A.H. Glattfelder, A. Bemporad, M. Morari
Conference/Journal:

vol. AUT00-07
Abstract:

Model Predictive Control (MPC) can be used for nonlinear systems if they are working around an operating point. If the operating point is moved away from the nominal working point the controller is less effective due to model mismatch. This situation can be tackled by using a Model-Varying Predictive Controller (MVPC), which changes its internal model, switching among a set of liner models, according to the working point.

Year:

2000
Type of Publication:

(04)Technical Report
Supervisor:



File Download:

Request a copy of this publication.
(Uses JavaScript)
% Autogenerated BibTeX entry
@TechReport { PedEtal:2000:IFA_20,
    author={C. Pedret and A. Poncet and K.S. Stadler and A. Toller and A.H.
	  Glattfelder and A. Bemporad and M. Morari},
    title={{Model-Varying Predictive Control of a Nonlinear System}},
    institution={},
    year={2000},
    number={},
    address={},
    month=feb,
    url={http://control.ee.ethz.ch/index.cgi?page=publications;action=details;id=20}
}
Permanent link