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Navier-Stokes equations are well known in modelling of an incompressible Newtonian fluid, such as air or water. This system of equations is very complex due to the non-linearity term that characterizes it. After the linearization and the…

Numerical Analysis · Mathematics 2022-01-06 Mohamed Amine Hamadi , Khalide Jbilou , Ahmed Ratnani

Many recent works on stabilization of nonlinear systems target the case of locally stabilizing an unstable steady state solutions against small perturbation. In this work we explicitly address the goal of driving a system into a…

Dynamical Systems · Mathematics 2020-03-11 Peter Benner , Jan Heiland

Exponential stabilizability of the incompressible Navier-Stokes equations under dynamic slip boundary conditions toward arbitrary time-dependent trajectories is proven. The feedback control law is constructed explicitly using oblique…

Analysis of PDEs · Mathematics 2026-02-12 Buddhika Priyasad , Sérgio S. Rodrigues

We introduce a new hyperbolic approximation to the incompressible Navier-Stokes equations by incorporating a first-order relaxation and using the artificial compressibility method. With two relaxation parameters in the model, we rigorously…

Analysis of PDEs · Mathematics 2024-11-26 Qian Huang , Christian Rohde , Wen-An Yong , Ruixi Zhang

The control of nonlinear large-scale dynamical models such as the incompressible Navier-Stokes equations is a challenging task. The computational challenges in the controller design come from both the possibly large state space and the…

Optimization and Control · Mathematics 2023-11-10 Amritam Das , Jan Heiland

We present a numerical scheme for approximating the incompressible Navier-Stokes equations based on an auxiliary variable associated with the total system energy. By introducing a dynamic equation for the auxiliary variable and…

Fluid Dynamics · Physics 2019-05-01 Lianlei Lin , Suchuan Dong

A supervised learning approach for the solution of large-scale nonlinear stabilization problems is presented. A stabilizing feedback law is trained from a dataset generated from State-dependent Riccati Equation solves. The training phase is…

Optimization and Control · Mathematics 2021-03-09 Giacomo Albi , Sara Bicego , Dante Kalise

The value function associated with an optimal control problem subject to the Navier-Stokes equations in dimension two is analyzed. Its smoothness is established around a steady state, moreover, its derivatives are shown to satisfy a Riccati…

Optimization and Control · Mathematics 2019-06-18 Tobias Breiten , Karl Kunisch , Laurent Pfeiffer

We consider the Navier-Stokes system in a bounded domain with a smooth boundary. Given a sufficiently regular time-dependent global solution, we construct a finite-dimensional feedback control that is supported by a given open set and…

Optimization and Control · Mathematics 2010-09-20 Viorel Barbu , Sergio S. Rodrigues , Armen Shirikyan

We analyse the existing derivation of the models of non-linear acoustics such as the Kuznetsov equation, the NPE equation and the KZK equation. The technique of introducing a corrector in the derivation ansatz allows to consider the…

Analysis of PDEs · Mathematics 2016-01-22 Anna Rozanova-Pierrat

The approximation of the value function associated to a stabilization problem formulated as optimal control problem for the Navier-Stokes equations in dimension three by means of solutions to generalized Lyapunov equations is proposed and…

Optimization and Control · Mathematics 2019-10-01 Tobias Breiten , Karl Kunisch

The purpose of this article is to establish bounds from below for the life span of regular solutions to the incompressible Navier-Stokes system, whichinvolve norms not only of the initial data, but also of nonlinear functions of the initial…

Analysis of PDEs · Mathematics 2018-05-23 Jean-Yves Chemin , Isabelle Gallagher

We provide explicit time-varying feedback laws that locally stabilize the two dimensional internal controlled incompressible Navier-Stokes equations in arbitrarily small time. We also obtain quantitative rapid stabilization via stationary…

Analysis of PDEs · Mathematics 2020-10-27 Shengquan Xiang

In fluid mechanics, a lot of authors have been executing their researches to obtain the analytical solutions of Navier-Stokes equations, even for 3D case of compressible gas flow or 3D case of non-stationary flow of incompressible fluid.…

Analysis of PDEs · Mathematics 2015-12-07 Sergey V. Ershkov

In the first part of this article, we obtain a linear system whose the solution solves the time-independent incompressible Navier-Stokes system for the special case in which the external forces vector is a gradient. In a second step we…

General Mathematics · Mathematics 2019-08-27 Fabio Botelho

Reduced-order modeling is an efficient approach for solving parameterized discrete partial differential equations when the solution is needed at many parameter values. An offline step approximates the solution space and an online step…

Numerical Analysis · Mathematics 2017-04-05 Howard C. Elman , Virginia Forstall

As lean premixed combustion systems are more susceptible to combustion instabilities than non-premixed systems, there is an increasing demand for improved numerical design tools that can predict the occurrence of combustion instabilities…

Fluid Dynamics · Physics 2015-05-19 Nils Erland L. Haugen , Øyvind Langørgen , Sigurd Sannan

One designs a linear stabilizable boundary feedback controller for the Navier-Stokes equations which is oblique to boundary.

Analysis of PDEs · Mathematics 2011-06-24 Viorel Barbu

We study an iterative low-rank approximation method for the solution of the steady-state stochastic Navier--Stokes equations with uncertain viscosity. The method is based on linearization schemes using Picard and Newton iterations and…

Numerical Analysis · Mathematics 2019-11-04 Kookjin Lee , Howard C. Elman , Bedřich Sousedík

Stabilization of linear control systems with parameter-dependent system matrices is investigated. A Riccati based feedback mechanism is proposed and analyzed. It is constructed by means of an ensemble of parameters from a training set. This…

Optimization and Control · Mathematics 2023-06-05 Philipp A. Guth , Karl Kunisch , Sergio S. Rodrigues
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