Publications by the same author
plus in the repository
plus in Google Scholar

Bibliografische Daten exportieren
 

Global optimal control of quantized systems

DOI zum Zitieren der Version auf EPub Bayreuth: https://doi.org/10.15495/EPub_UBT_00005616
URN to cite this document: urn:nbn:de:bvb:703-epub-5616-8

Title data

Grüne, Lars ; Müller, Florian:
Global optimal control of quantized systems.
Bayreuth , 2010

[thumbnail of gruene_mueller_mtns_2010.pdf]
Format: PDF
Name: gruene_mueller_mtns_2010.pdf
Version: Published Version
Available under License Creative Commons BY 4.0: Attribution
Download (221kB)

Abstract

We propose a set oriented approach to the global infinite horizon optimal control of nonlinear systems with quantized state measurement and quantized control values. The algorithm relies on a dynamic programming principle in which the quantization error is modelled as an opponent in a min-max dynamic game formulation. For the solution of the problem we propose a set oriented approach followed by a graph theoretic optimization algorithm. We also discuss a dynamic feedback extension and illustrate the performance of the proposed approach by experimental results.

Further data

Item Type: Preprint, postprint
Additional notes (visible to public): erscheint in:
Proceedings of the 19th International Symposium on Mathematical Theory of Networks and Systems, MTNS 2010. - Budapest , 2010 . - S. 1231-1237
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-5616-8
Date Deposited: 26 May 2021 10:22
Last Modified: 08 Jun 2021 10:31
URI: https://epub.uni-bayreuth.de/id/eprint/5616

Downloads

Downloads per month over past year