Robust Boundary Output-Feedback Control of a Reaction-Diffusion Equation with In-Domain Disturbances
Francesco Ferrante (),
Suha Shreim and
Christophe Prieur ()
Additional contact information
Francesco Ferrante: University of Perugia
Suha Shreim: Univ. Grenoble Alpes, CNRS, Grenoble INP, GIPSA-lab
Christophe Prieur: Univ. Grenoble Alpes, CNRS, Grenoble INP, GIPSA-lab
Journal of Optimization Theory and Applications, 2025, vol. 206, issue 2, No 28, 32 pages
Abstract:
Abstract Output feedback control design for a class of reaction-diffusion equations with Dirichlet anti-collocated sensing and actuation subject to in-domain disturbances is addressed. Within this setting, we design a finite-dimensional dynamic output feedback controller ensuring closed-loop exponential stability and input-output stability with an explicit estimate of the input-output gain. The approach is based on the spectral decomposition of the open-loop infinite-dimensional system and on the use of a suitable Lyapunov functional candidate. Sufficient conditions in the form of matrix inequalities are given to ensure closed-loop stability. These conditions are shown to be always feasible and are employed to devise an optimal controller design algorithm based on the solutions to some linear matrix inequalities.
Keywords: Partial differential equations; output feedback control; robust control; LMIs; Lyapunov methods (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:
Downloads: (external link)
http://link.springer.com/10.1007/s10957-025-02724-2 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:206:y:2025:i:2:d:10.1007_s10957-025-02724-2
Ordering information: This journal article can be ordered from
http://www.springer. ... cs/journal/10957/PS2
DOI: 10.1007/s10957-025-02724-2
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 ().