Stability analysis of real-time methods for equality constrained NMPC

Abstract: In this paper, a proof of asymptotic stability for the combined system-optimizer dynamics associated with a class of real-time methods for equality constrained nonlinear model predictive control is presented. General Q-linearly convergent online optimization methods are considered and asymptotic stability results are derived for the case where a single iteration of the optimizer is carried out per sampling time. In particular, it is shown that, if the underlying sampling time is sufficiently short, asymptotic stability can be guaranteed. The results constitute an extension to existing attractivity results for the well-known real-time iteration strategy

Location
Deutsche Nationalbibliothek Frankfurt am Main
Extent
Online-Ressource
Language
Englisch
Notes
IFAC-PapersOnLine. - 53, 2 (2020) , 6570-6576, ISSN: 2405-8963

Event
Veröffentlichung
(where)
Freiburg
(who)
Universität
(when)
2025
Creator
Zanelli, Andrea
Dinh, Quoc Tran
Diehl, Moritz

DOI
10.1016/j.ifacol.2020.12.074
URN
urn:nbn:de:bsz:25-freidok-2618601
Rights
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
Last update
15.08.2025, 7:30 AM CEST

Data provider

This object is provided by:
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.

Associated

Time of origin

  • 2025

Other Objects (12)