Titlebar

Export bibliographic data
Literature by the same author
plus on the publication server
plus at Google Scholar

 

Horizon Adaptation for Nonlinear Model Predictive Controllers with guaranteed Degree of Suboptimality

URN to cite this document: urn:nbn:de:bvb:703-epub-5591-3

Title data

Pannek, Jürgen:
Horizon Adaptation for Nonlinear Model Predictive Controllers with guaranteed Degree of Suboptimality.
Bayreuth , 2009

[img]
Format: PDF
Name: pannek_horizon_adaptation_nmpc_2009.pdf
Version: Published Version
Available under License Creative Commons BY 4.0: Attribution
Download (342kB)

Abstract

We propose adaptation strategies to modify the standard constrained model predictive controller scheme in order to guarantee a certain lower bound on the degree of suboptimality. Within this analysis, the length of the optimization horizon is the parameter we wish to adapt. We develop and prove several shortening and prolongation strategies which also allow for an effective implementation. Moreover, extensions of stability results and suboptimality estimates to model predictive controllers with varying optimization horizon are shown.

Further data

Item Type: Preprint, postprint
Keywords: nonlinear model predictive control; suboptimality; stability; adaptation strategies
DDC Subjects: 500 Science
500 Science > 510 Mathematics
Institutions of the University: Faculties > Faculty of Mathematics, Physics und Computer Science > Department of Mathematics > Chair Mathematics V (Applied Mathematics)
Faculties
Faculties > Faculty of Mathematics, Physics und Computer Science
Faculties > Faculty of Mathematics, Physics und Computer Science > Department of Mathematics
Language: English
Originates at UBT: Yes
URN: urn:nbn:de:bvb:703-epub-5591-3
Date Deposited: 20 May 2021 13:29
Last Modified: 20 May 2021 13:29
URI: https://epub.uni-bayreuth.de/id/eprint/5591

Downloads

Downloads per month over past year