EconPapers    
Economics at your fingertips  
 

Stability analysis of the Navier–Stokes velocity tracking problem with bang-bang controls

Alberto Domínguez Corella (), Nicolai Jork (), Šárka Nečasová () and John Sebastian H. Simon ()
Additional contact information
Alberto Domínguez Corella: Friedrich-Alexander-Universität Erlangen-Nürnberg
Nicolai Jork: Vienna University of Technology
Šárka Nečasová: Czech Academy of Sciences
John Sebastian H. Simon: Austrian Academy of Sciences

Journal of Optimization Theory and Applications, 2024, vol. 201, issue 2, No 11, 790-824

Abstract: Abstract This paper focuses on the stability of solutions for a velocity-tracking problem associated with the two-dimensional Navier–Stokes equations. The considered optimal control problem does not possess any regularizer in the cost, and hence bang-bang solutions can be expected. We investigate perturbations that account for uncertainty in the tracking data and the initial condition of the state, and analyze the convergence rate of solutions when the original problem is regularized by the Tikhonov term. The stability analysis relies on the Hölder subregularity of the optimality mapping, which stems from the necessary conditions of the problem.

Keywords: Navier–Stokes equations; Stability analysis; Optimality conditions; Tikhonov regularization; 49K20; 49K30; 49K40; 76D05 (search for similar items in EconPapers)
Date: 2024
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://link.springer.com/10.1007/s10957-024-02413-6 Abstract (text/html)
Access to the full text of the articles in this series is restricted.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:joptap:v:201:y:2024:i:2:d:10.1007_s10957-024-02413-6

Ordering information: This journal article can be ordered from
http://www.springer. ... cs/journal/10957/PS2

DOI: 10.1007/s10957-024-02413-6

Access Statistics for this article

Journal of Optimization Theory and Applications is currently edited by Franco Giannessi and David G. Hull

More articles in Journal of Optimization Theory and Applications from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2025-04-19
Handle: RePEc:spr:joptap:v:201:y:2024:i:2:d:10.1007_s10957-024-02413-6