2011
DOI: 10.1137/100785739
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Internal Exponential Stabilization to a Nonstationary Solution for 3D Navier–Stokes Equations

Abstract: 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 stabilizes the linearized equation. The proof of this fact is based on a truncated observability inequality, the regularizing property for the linearized equation, and some standard techniques of the optimal control theory. We then show that the control constructed for the linear… Show more

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Cited by 49 publications
(72 citation statements)
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“…We now turn to the proof of Theorem 3.1. As was mentioned in the Introduction, a weaker version of this result was established in the paper [BRS11], and its proof repeats essentially the argument used there. However, since the finite-dimensionality in time for the control and the regularity and Lipschitz properties of Φ are important for the stochastic part of this work, we present a rather complete proof of Theorem 3.1.…”
Section: Contraction For Any Functionsmentioning
confidence: 64%
See 1 more Smart Citation
“…We now turn to the proof of Theorem 3.1. As was mentioned in the Introduction, a weaker version of this result was established in the paper [BRS11], and its proof repeats essentially the argument used there. However, since the finite-dimensionality in time for the control and the regularity and Lipschitz properties of Φ are important for the stochastic part of this work, we present a rather complete proof of Theorem 3.1.…”
Section: Contraction For Any Functionsmentioning
confidence: 64%
“…In this section, we outline the proof of Theorem 2.1, which is based on two key ingredients: a coupling approach developed in [KS01, Mat02, KPS02, MY02, Hai02, Shi04] in the context of stochastic PDE's and a property of stabilisation to a non-stationary solution of Navier-Stokes equations [BRS11]. We first recall an abstract result established in [Shi08].…”
Section: General Criterion For Mixing and Applicationmentioning
confidence: 99%
“…In [13] the authors consider an infinite horizon problem and propose a method using formally a quadratic Taylor approximation of the solution of the HJB equation. For a non-autonomous system that appears in the internal stabilization of Navier Stokes equation to a nonstationary solution a feedback law satisfying a differential Riccati equation can be found in [5].…”
Section: Boundary Condition For Hjb Equation On the Computational Dommentioning
confidence: 99%
“…Let us be given a positive constant λ > 0, a continuous Lipschitz function χ ∈ W 1,∞ (Ω, R) with nonempty support, and a solutionû ∈ W st of (1) with ζ = 0, in a suitable Banach space W st . Then, following the procedure presented in [BRS11], we can prove that there exists an integer M = M (|û| W st ), a function η = η(t, x), defined for t > 0, x ∈ Ω, such that the solution u = u(t, x) of problem (1), with ζ = χP M η, and supplemented with the initial condition That is, the internal control ζ = χP M η stabilizes exponentially, with rate λ, the Burgers system to the reference trajectoryû.…”
Section: Introductionmentioning
confidence: 99%