On the Numerical Solution of Differential Linear Matrix Inequalities
Marco Ariola (),
Gianmaria De Tommasi (),
Adriano Mele () and
Gaetano Tartaglione ()
Additional contact information
Marco Ariola: Università degli Studi di Napoli Parthenope, Centro Direzionale di Napoli
Gianmaria De Tommasi: Università degli Studi di Napoli Federico II
Adriano Mele: l’Automazione e le Tecnologie dell’Elettromagnetismo
Gaetano Tartaglione: Università degli Studi di Napoli Parthenope, Centro Direzionale di Napoli
Journal of Optimization Theory and Applications, 2020, vol. 185, issue 2, No 12, 540-553
Abstract:
Abstract This paper presents a novel approach for the numerical solution of differential linear matrix inequalities. The solutions are searched in the class of piecewise-quadratic functions with symmetric matrix coefficients to be determined. To limit the numbers of unknowns, congruence constraints are considered to guarantee continuity of the solution and of its derivative. In Example section, some control problems involving differential linear matrix inequalities are considered and solved in order to compare the proposed approach with alternative approximation methods adopted in the literature.
Keywords: Differential LMIs; Optimization; Time-varying systems; 93C05; 93B50; 93D05; 93C57 (search for similar items in EconPapers)
Date: 2020
References: View complete reference list from CitEc
Citations:
Downloads: (external link)
http://link.springer.com/10.1007/s10957-020-01650-9 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:185:y:2020:i:2:d:10.1007_s10957-020-01650-9
Ordering information: This journal article can be ordered from
http://www.springer. ... cs/journal/10957/PS2
DOI: 10.1007/s10957-020-01650-9
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 ().