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Trajectory based suboptimality estimates for receding horizon controllers

DOI zum Zitieren der Version auf EPub Bayreuth: https://doi.org/10.15495/EPub_UBT_00005566
URN to cite this document: urn:nbn:de:bvb:703-epub-5566-9

Title data

Grüne, Lars ; Pannek, Jürgen:
Trajectory based suboptimality estimates for receding horizon controllers.
Bayreuth , 2008

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Abstract

In this paper we develop and illustrate methods for estimating the degree of suboptimality of receding horizon schemes with respect to infinite horizon optimal control. The proposed a posteriori and a priori methods yield estimates which are evaluated online along the computed closed-loop trajectories and only use numerical information which is readily available in the scheme.

Further data

Item Type: Preprint, postprint
Additional notes (visible to public): erscheint in:
Mathematical Theory of Networks and Systems (MTNS2008) : Proceedings of the 18th International Symposium Blacksburg, Virginia, USA. - Blacksburg, VA, USA , 2008
Keywords: nonlinear control; sampled-data; model predictive control; suboptimality
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) > Chair Mathematics V (Applied Mathematics) - Univ.-Prof. Dr. Lars Grüne
Faculties
Faculties > Faculty of Mathematics, Physics und Computer Science
Faculties > Faculty of Mathematics, Physics und Computer Science > Department of Mathematics
Faculties > Faculty of Mathematics, Physics und Computer Science > Department of Mathematics > Chair Mathematics V (Applied Mathematics)
Language: English
Originates at UBT: Yes
URN: urn:nbn:de:bvb:703-epub-5566-9
Date Deposited: 20 May 2021 07:47
Last Modified: 10 Jun 2021 08:11
URI: https://epub.uni-bayreuth.de/id/eprint/5566
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