Equivalence between Differential Inclusions Involving Prox-regular sets and maximal monotone operators
Samir Adly, Abderrahim Hantoute, Bat Trang Nguyen

TL;DR
This paper establishes an equivalence between differential inclusions involving prox-regular sets and maximal monotone operators, enabling the use of monotone operator theory for stability and existence analysis of nonsmooth dynamical systems.
Contribution
It introduces a novel equivalence between two classes of differential inclusions, allowing the application of maximal monotone operator theory to prox-regular set dynamics.
Findings
Existence and stability of solutions are proven using the equivalence.
Solutions exhibit continuity and differentiability properties.
The approach is applied to a Luenberger-like observer with exponential convergence.
Abstract
In this paper, we study the existence and the stability in the sense of Lyapunov of solutions for\ differential inclusions governed by the normal cone to a prox-regular set and subject to a Lipschitzian perturbation. We prove that such, apparently, more general nonsmooth dynamics can be indeed remodelled into the classical theory of differential inclusions involving maximal monotone operators. This result is new in the literature and permits us to make use of the rich and abundant achievements in this class of monotone operators to derive the desired existence result and stability analysis, as well as the continuity and differentiability properties of the solutions. This going back and forth between these two models of differential inclusions is made possible thanks to a viability result for maximal monotone operators. As an application, we study a Luenberger-like observer, which is…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsStability and Controllability of Differential Equations · Stability and Control of Uncertain Systems · Optimization and Variational Analysis
