Title data
Pannek, Jürgen:
Horizon Adaptation for Nonlinear Model Predictive Controllers with guaranteed Degree of Suboptimality.
Bayreuth
,
2009
. - 20 p.
Related URLs
Abstract in another language
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 |
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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 |
Result of work at the UBT: | Yes |
DDC Subjects: | 500 Science > 510 Mathematics |
Date Deposited: | 24 Feb 2021 08:39 |
Last Modified: | 20 May 2021 13:30 |
URI: | https://eref.uni-bayreuth.de/id/eprint/63399 |