Table of Contents
Fetching ...

Stabilization of 2D Navier-Stokes equations by means of actuators with locally supported vorticity

Sérgio S. Rodrigues, Dagmawi A. Seifu

TL;DR

This work develops explicit, finite-dimensional feedback laws to globally stabilize the two-dimensional incompressible Navier–Stokes system to a prescribed time-dependent trajectory under Lions boundary conditions. By formulating the problem in vorticity and constructing actuators whose vorticity is locally supported, the authors derive an explicit oblique-projection feedback ${\mathbf K}_M^\lambda$ that yields exponential convergence at rate $\mu$ for sufficiently large actuator count $M$ and gain $\lambda$. A key contribution is the actuator construction with fixed total vorticity support volume independent of $M$, together with a rigorous analysis showing independence of the stabilization parameters $M_*$ and $\lambda_*$, and a detailed link between the velocity and vorticity formulations. The paper also connects stabilization with observer design through a Luenberger-like interpretation and validates the approach numerically on a triangular domain, demonstrating the method’s computational efficiency and potential for data assimilation and output-based control of incompressible flows.

Abstract

Exponential stabilization to time-dependent trajectories for the incompressible Navier-Stokes equations is achieved with explicit feedback controls. The fluid is contained in two-dimensional spatial domains and the control force is, at each time instant, a linear combination of a finite number of given actuators. Each actuator has its vorticity supported in a small subdomain. The velocity field is subject to Lions boundary conditions. Simulations are presented showing the stabilizing performance of the proposed feedback. The results also apply to a class of observer design problems.

Stabilization of 2D Navier-Stokes equations by means of actuators with locally supported vorticity

TL;DR

This work develops explicit, finite-dimensional feedback laws to globally stabilize the two-dimensional incompressible Navier–Stokes system to a prescribed time-dependent trajectory under Lions boundary conditions. By formulating the problem in vorticity and constructing actuators whose vorticity is locally supported, the authors derive an explicit oblique-projection feedback that yields exponential convergence at rate for sufficiently large actuator count and gain . A key contribution is the actuator construction with fixed total vorticity support volume independent of , together with a rigorous analysis showing independence of the stabilization parameters and , and a detailed link between the velocity and vorticity formulations. The paper also connects stabilization with observer design through a Luenberger-like interpretation and validates the approach numerically on a triangular domain, demonstrating the method’s computational efficiency and potential for data assimilation and output-based control of incompressible flows.

Abstract

Exponential stabilization to time-dependent trajectories for the incompressible Navier-Stokes equations is achieved with explicit feedback controls. The fluid is contained in two-dimensional spatial domains and the control force is, at each time instant, a linear combination of a finite number of given actuators. Each actuator has its vorticity supported in a small subdomain. The velocity field is subject to Lions boundary conditions. Simulations are presented showing the stabilizing performance of the proposed feedback. The results also apply to a class of observer design problems.
Paper Structure (23 sections, 13 theorems, 117 equations, 9 figures)

This paper contains 23 sections, 13 theorems, 117 equations, 9 figures.

Key Result

Lemma 2.1

The mapping $\mathop{\rm curl}\nolimits\colon{\mathbf V} \to H$ is an isometry and a bijection.

Figures (9)

  • Figure 1: Supports $\overline\omega_j^M$ of the actuators as in \ref{['suppAct']}. $M_\sigma=M^2$.
  • Figure 2: Supports of actuators for a triangular (sub)domain. $M_\sigma=4^{M-1}$.
  • Figure 3: Triangulations ${\mathcal{T}}_0$, $M\in\{1,2\}$, and supports of the actuators.
  • Figure 4: Increasing $M$. Data \ref{['data:unk']}.
  • Figure 5: Stream function of the target. Data \ref{['data:unk']}.
  • ...and 4 more figures

Theorems & Definitions (31)

  • Lemma 2.1
  • proof
  • Lemma 2.2
  • proof
  • Remark 2.3
  • Theorem 3.1
  • Lemma 3.2
  • proof
  • Lemma 3.3
  • proof
  • ...and 21 more