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