Titlebar

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

 

Optimization Based Stabilization of Nonlinear Control Systems

DOI zum Zitieren der Version auf EPub Bayreuth: https://doi.org/10.15495/EPub_UBT_00005561
URN to cite this document: urn:nbn:de:bvb:703-epub-5561-2

Title data

Grüne, Lars:
Optimization Based Stabilization of Nonlinear Control Systems.
Bayreuth , 2008

[img]
Format: PDF
Name: gruene_lncs_2008.pdf
Version: Published Version
Available under License Creative Commons BY 4.0: Attribution
Download (668kB)

Abstract

We present a general framework for analysis and design of optimization based numerical feedback stabilization schemes utilizing ideas from relaxed dynamic programming. The application of the framework is illustrated for a set valued and graph theoretic offline optimization algorithm and for receding horizon online optimization.

Further data

Item Type: Preprint, postprint
Additional notes (visible to public): erschienen In:
Lirkov, Ivan D. ; Margenov, Svetozar ; Waśniewski, Jerzy (Hrsg.): Large-Scale Scientific Computing : 6th International Conference, LSSC 2007, Sozopol, Bulgaria, June 5-9, 2007 ; revised papers. - Berlin ; Heidelberg : Springer , 2008 . - S. 52-65
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-5561-2
Date Deposited: 20 May 2021 07:09
Last Modified: 20 May 2021 07:10
URI: https://epub.uni-bayreuth.de/id/eprint/5561

Downloads

Downloads per month over past year