Well-Posedness of Nonsmooth Lurie Dynamical Systems Involving Maximal Monotone Operators
S. Adly (),
D. Goeleven () and
R. Oujja ()
Additional contact information
S. Adly: DMI-XLIM, University of Limoges
D. Goeleven: PIMENT, University of La Reunion
R. Oujja: PIMENT, University of La Reunion
A chapter in Mathematical Analysis in Interdisciplinary Research, 2021, pp 47-68 from Springer
Abstract:
Abstract Many physical phenomena can be modeled as a feedback connection of a linear dynamical systems combined with a nonlinear function which satisfies a sector condition. The concept of absolute stability, proposed by Lurie and Postnikov (Appl Math Mech 8(3), 1944) in the early 1940s, constitutes an important tool in the theory of control systems. Lurie dynamical systems have been studied extensively in the literature with nonlinear (but smooth) feedback functions that can be formulated as an ordinary differential equation. Many concrete applications in engineering can be modeled by a set-valued feedback law in order to take into account the nonsmooth relation between the output and the state variables. In this paper, we show the well-posedness of nonsmooth Lurie dynamical systems involving maximal monotone operators. This includes the case where the set-valued law is given by the subdifferential of a convex, proper, and lower semicontinuous function. Some existence and uniqueness results are given depending on the data of the problem and particularly the interplay between the matrix D and the set-valued map ℱ $$\mathcal {F}$$ . We will also give some conditions ensuring that the extended resolvent ( D + ℱ ) − 1 $$(D+\mathcal {F})^{-1}$$ is single-valued and Lipschitz continuous. The main tools used are derived from convex analysis and maximal monotone theory.
Date: 2021
References: Add references at CitEc
Citations:
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
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:spochp:978-3-030-84721-0_4
Ordering information: This item can be ordered from
http://www.springer.com/9783030847210
DOI: 10.1007/978-3-030-84721-0_4
Access Statistics for this chapter
More chapters in Springer Optimization and Its Applications from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().