Exponential stability of the linearized viscous Saint-Venant equations using a quadratic Lyapunov function
Amaury Hayat, Nathan Lichtl\'e

TL;DR
This paper establishes exponential stability of the linearized viscous Saint-Venant equations by constructing a quadratic Lyapunov function and deriving conditions on boundary parameters for small viscosities.
Contribution
It introduces explicit conditions for quadratic Lyapunov functions ensuring stability of viscous Saint-Venant equations, extending previous non-viscous analyses.
Findings
Existence of a diagonal quadratic Lyapunov function for viscous case
Explicit boundary parameter conditions for stability
Stability proven in the $L^2$ norm for small viscosities
Abstract
In this work, we investigate the exponential stability of the viscous Saint-Venant equations by adding to the standard hyperbolic Saint-Venant equations a viscosity term coming from the higher order approximation of the Saint-Venant equations from Navier-Stokes equations. The inclusion of viscosity transforms these equations into more complex second-order partial differential equations, accurately modeling the behavior of real-world fluids that inherently possess viscosity. We construct an explicit quadratic Lyapunov function and demonstrate that it must be diagonal in physical coordinates, revealing that certain quadratic Lyapunov functions effective in non-viscous cases become inadequate when viscosity is introduced. We find explicit sufficient conditions on the parameters of the boundary conditions such that for small viscosities a quadratic Lyapunov function exists. This result…
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 · Navier-Stokes equation solutions · Control and Stability of Dynamical Systems
