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.

  

MPC with Linear Time-Varying Prediction Models

Author(s):

V. Nevistic
Conference/Journal:

vol. AUT97-08
Abstract:

As an alternative to ``full-fledged'' nonlinear MPC (NLMPC), we introduce a different MPC algorithm that uses linear time-varying prediction models (MPC LTV), obtained by applying a local linearization along the nominal state and input trajectory. In this way, the problematic setup of the standard NLMPC approach is avoided, performance analysis may be simplified, and computational efficiency is significantly improved. When compared with the standard local linearization-based MPC which uses linear time-invariant prediction models, MPC LTV provides more accurate approximations to the true nonlinear system, resulting in performance closer to that of NLMPC.

Year:

1997
Type of Publication:

(04)Technical Report
Supervisor:



No Files for download available.
% Autogenerated BibTeX entry
@TechReport { Xxx:1997:IFA_1452,
    author={V. Nevistic},
    title={{MPC with Linear Time-Varying Prediction Models}},
    institution={},
    year={1997},
    number={},
    address={},
    url={http://control.ee.ethz.ch/index.cgi?page=publications;action=details;id=1452}
}
Permanent link