eprintid: 1659
rev_number: 14
eprint_status: archive
userid: 1
dir: disk0/00/00/16/59
datestamp: 2001-07-19 00:00:00
lastmod: 2021-07-20 11:41:01
status_changed: 2012-08-14 15:02:05
type: doctoralThesis
metadata_visibility: show
creators_name: Diehl, Moritz
title: Real-Time Optimization for Large Scale Nonlinear Processes
title_de: Echtzeitoptimierung grosser nichtlinearer Prozesse
ispublished: pub
subjects: 510
divisions: 110400
adv_faculty: af-11
keywords: Real-Time Optimization , Nonlinear Model Predictive Control , Newton Type Methods , Distillation , Differential Algebraic Equations
cterms_swd: xxx
abstract_translated_text: Efficient numerical methods for the real-time solution of optimal control problems arising in nonlinear model predictive control (NMPC) are presented, and their contraction properties are investigated theoretically.  The practical applicability of the methods is demonstrated in an experimental application to a real distillation column, involving the real-time optimization of a differential algebraic process model with more than 200 states, with sampling times of only a few seconds. In a numerical experiment, the periodic control of an unstable system, an airborne kite that is flying loopings, is investigated.   The algorithm shows excellent robustness and real-time performance for both challenging on-line optimization examples.
abstract_translated_lang: eng
class_scheme: msc
class_labels: 49-04
date: 2001
date_type: published
id_scheme: DOI
id_number: 10.11588/heidok.00001659
ppn_swb: 164321571X
own_urn: urn:nbn:de:bsz:16-opus-16592
date_accepted: 2001-06-25
advisor: HASH(0x556120eda0c8)
language: eng
bibsort: DIEHLMORITREALTIMEOP2001
full_text_status: public
citation:   Diehl, Moritz  (2001) Real-Time Optimization for Large Scale Nonlinear Processes.  [Dissertation]     
document_url: https://archiv.ub.uni-heidelberg.de/volltextserver/1659/1/Diehl_2001_Dissertation.pdf